Submit Search
Upload
Large-scale integration of data and text
•
Download as PPT, PDF
•
0 likes
•
239 views
Lars Juhl Jensen
Follow
Large-scale integration of data and text
Read less
Read more
Science
Report
Share
Report
Share
1 of 65
Download now
Recommended
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
Lars Juhl Jensen
The pragmatic text miner - It's just another type of poorly standardized data
The pragmatic text miner - It's just another type of poorly standardized data
The pragmatic text miner - It's just another type of poorly standardized data
Lars Juhl Jensen
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and text
Lars Juhl Jensen
MIPS Retreat, Kloster Frauenchiemsee, Chiemsee, Germany, July 9-10, 2007
Prediction of protein networks through data integration
Prediction of protein networks through data integration
Lars Juhl Jensen
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Protein association networks with STRING
Protein association networks with STRING
Protein association networks with STRING
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Recommended
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
Lars Juhl Jensen
The pragmatic text miner - It's just another type of poorly standardized data
The pragmatic text miner - It's just another type of poorly standardized data
The pragmatic text miner - It's just another type of poorly standardized data
Lars Juhl Jensen
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and text
Protein association networks: Large-scale integration of data and text
Lars Juhl Jensen
MIPS Retreat, Kloster Frauenchiemsee, Chiemsee, Germany, July 9-10, 2007
Prediction of protein networks through data integration
Prediction of protein networks through data integration
Lars Juhl Jensen
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
STRING: Large-scale data and text mining
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Protein association networks with STRING
Protein association networks with STRING
Protein association networks with STRING
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Lars Juhl Jensen
Lyon, France, April 23-25, 2007
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Lars Juhl Jensen
14th International Conference on Intelligent Systems for Molecular Biology, Software demo, Fortaleza Conference Center, Fortaleza, Brazil, August 6-10, 2006
The STRING database
The STRING database
Lars Juhl Jensen
The STRING database and related tools
The STRING database and related tools
The STRING database and related tools
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
SEMM, IFOM, Milan, Italy, June 15-16, 2006
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Nordic Conference for Scolarly Communication 2008, Scandic Star Hotel, Lund, Sweden, April 21-23, 2008
Integration of biomedical literature and databases
Integration of biomedical literature and databases
Lars Juhl Jensen
Turning big data and text collections into web resrouces
Turning big data and text collections into web resrouces
Lars Juhl Jensen
9th Course in Bioinformatics for Molecular Biologist, Bertinoro, Italy, March 22-26, 2009
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Lars Juhl Jensen
Novo Nordisk Foundation Center for Protein Research Scientific Advisory Board Meeting, Hvidøre, Klampenborg, Denmark, May 15, 2009
Scientific Highlights: The Reflect and NetPhorest web resources
Scientific Highlights: The Reflect and NetPhorest web resources
Lars Juhl Jensen
Talk about STRING and STITCH, given as part of the EMBO Practical Course 'Computational aspects of protein structure determination and analysis: from data to structure to function' at the EBI in Hinxton (Sept. 10, 2010)
STRING/STITCH tutorial
STRING/STITCH tutorial
biocs
Introduction to Bioinformatics, Heidelberg University, Heidelberg, Germany, November 29, 2006
The STRING database
The STRING database
Lars Juhl Jensen
One tagger, many uses - Illustrating the power of ontologies in named entity recognition
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
In silico and Text-Based Analysis of Cellular Networks
In silico and Text-Based Analysis of Cellular Networks
In silico and Text-Based Analysis of Cellular Networks
Lars Juhl Jensen
More Related Content
What's hot
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Lars Juhl Jensen
Lyon, France, April 23-25, 2007
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Lars Juhl Jensen
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Lars Juhl Jensen
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Lars Juhl Jensen
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
Lars Juhl Jensen
14th International Conference on Intelligent Systems for Molecular Biology, Software demo, Fortaleza Conference Center, Fortaleza, Brazil, August 6-10, 2006
The STRING database
The STRING database
Lars Juhl Jensen
The STRING database and related tools
The STRING database and related tools
The STRING database and related tools
Lars Juhl Jensen
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
SEMM, IFOM, Milan, Italy, June 15-16, 2006
Introduction to STRING
Introduction to STRING
Lars Juhl Jensen
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Lars Juhl Jensen
Networks of proteins and diseases
Networks of proteins and diseases
Lars Juhl Jensen
Nordic Conference for Scolarly Communication 2008, Scandic Star Hotel, Lund, Sweden, April 21-23, 2008
Integration of biomedical literature and databases
Integration of biomedical literature and databases
Lars Juhl Jensen
Turning big data and text collections into web resrouces
Turning big data and text collections into web resrouces
Lars Juhl Jensen
9th Course in Bioinformatics for Molecular Biologist, Bertinoro, Italy, March 22-26, 2009
Integration of heterogeneous data
Integration of heterogeneous data
Lars Juhl Jensen
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Lars Juhl Jensen
Novo Nordisk Foundation Center for Protein Research Scientific Advisory Board Meeting, Hvidøre, Klampenborg, Denmark, May 15, 2009
Scientific Highlights: The Reflect and NetPhorest web resources
Scientific Highlights: The Reflect and NetPhorest web resources
Lars Juhl Jensen
Talk about STRING and STITCH, given as part of the EMBO Practical Course 'Computational aspects of protein structure determination and analysis: from data to structure to function' at the EBI in Hinxton (Sept. 10, 2010)
STRING/STITCH tutorial
STRING/STITCH tutorial
biocs
Introduction to Bioinformatics, Heidelberg University, Heidelberg, Germany, November 29, 2006
The STRING database
The STRING database
Lars Juhl Jensen
One tagger, many uses - Illustrating the power of ontologies in named entity recognition
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
Lars Juhl Jensen
What's hot
(20)
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
Gene Association Networks: Large-scale integration of data and text
The STRING database - Quality scores for heterogeneous interaction data
The STRING database - Quality scores for heterogeneous interaction data
Gene association networks: Large-scale integration of data and text
Gene association networks: Large-scale integration of data and text
STRING - Protein networks from data and text mining
STRING - Protein networks from data and text mining
Network biology: Large-scale data and text mining
Network biology: Large-scale data and text mining
The STRING database
The STRING database
The STRING database and related tools
The STRING database and related tools
Network Biology: Large-scale integration of data and text
Network Biology: Large-scale integration of data and text
Introduction to STRING
Introduction to STRING
Gene association networks - Large-scale integration of data and text
Gene association networks - Large-scale integration of data and text
Networks of proteins and diseases
Networks of proteins and diseases
Integration of biomedical literature and databases
Integration of biomedical literature and databases
Turning big data and text collections into web resrouces
Turning big data and text collections into web resrouces
Integration of heterogeneous data
Integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
STRING & related databases: Large-scale integration of heterogeneous data
Scientific Highlights: The Reflect and NetPhorest web resources
Scientific Highlights: The Reflect and NetPhorest web resources
STRING/STITCH tutorial
STRING/STITCH tutorial
The STRING database
The STRING database
One tagger, many uses - Illustrating the power of ontologies in named entity ...
One tagger, many uses - Illustrating the power of ontologies in named entity ...
Viewers also liked
Large-scale integration of data and text
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
In silico and Text-Based Analysis of Cellular Networks
In silico and Text-Based Analysis of Cellular Networks
In silico and Text-Based Analysis of Cellular Networks
Lars Juhl Jensen
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
Lars Juhl Jensen
STRING: protein association networks
STRING: protein association networks
STRING: protein association networks
Lars Juhl Jensen
Making gene networks through data integration
Making gene networks through data integration
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Real-time tagging of biomedical entities
Real-time tagging of biomedical entities
Real-time tagging of biomedical entities
Lars Juhl Jensen
Text mining for organism and environment names
Text mining for organism and environment names
Text mining for organism and environment names
Lars Juhl Jensen
Biomedical text mining and network analysis
Biomedical text mining and network analysis
Biomedical text mining and network analysis
Lars Juhl Jensen
Medical data and text mining - Linking diseases, drugs, and adverse reactions
Medical data and text mining - Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Large-scale biomedical data and text integration
Large-scale biomedical data and text integration
Large-scale biomedical data and text integration
Lars Juhl Jensen
Statistics on big biomedical data - Methods and pitfalls when analyzing high-throughput screens
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Lars Juhl Jensen
Large-scale integration of data and text
Large-scale integration of data and text
Large-scale integration of data and text
Lars Juhl Jensen
Text and data integration
Text and data integration
Text and data integration
Lars Juhl Jensen
The Literature Text Mining Approach In Cancer Research
The Literature Text Mining Approach In Cancer Research
The Literature Text Mining Approach In Cancer Research
Lars Juhl Jensen
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Lars Juhl Jensen
Data and text mining of Danish electronic health records
Data and text mining of Danish electronic health records
Data and text mining of Danish electronic health records
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Viewers also liked
(18)
Large-scale integration of data and text
Large-scale integration of data and text
In silico and Text-Based Analysis of Cellular Networks
In silico and Text-Based Analysis of Cellular Networks
The pragmatic text miner: It’s just another type of poorly standardized data
The pragmatic text miner: It’s just another type of poorly standardized data
STRING: protein association networks
STRING: protein association networks
Making gene networks through data integration
Making gene networks through data integration
Large-scale integration of data and text
Large-scale integration of data and text
Real-time tagging of biomedical entities
Real-time tagging of biomedical entities
Text mining for organism and environment names
Text mining for organism and environment names
Biomedical text mining and network analysis
Biomedical text mining and network analysis
Medical data and text mining - Linking diseases, drugs, and adverse reactions
Medical data and text mining - Linking diseases, drugs, and adverse reactions
Large-scale biomedical data and text integration
Large-scale biomedical data and text integration
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Large-scale integration of data and text
Large-scale integration of data and text
Text and data integration
Text and data integration
The Literature Text Mining Approach In Cancer Research
The Literature Text Mining Approach In Cancer Research
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Large-scale data and text mining - Linking proteins, chemicals, and side effects
Data and text mining of Danish electronic health records
Data and text mining of Danish electronic health records
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Similar to Large-scale integration of data and text
Data integration with STRING
Data integration with STRING
Lars Juhl Jensen
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
Lars Juhl Jensen
Pragmatic text mining: From literature to electronic health records
Pragmatic text mining: From literature to electronic health records
Lars Juhl Jensen
Network biology: A crash course on STRING and Cytoscape
Network biology: A crash course on STRING and Cytoscape
Network biology: A crash course on STRING and Cytoscape
Lars Juhl Jensen
The pragmatic text miner: It's just another type of poorly standardized data
The pragmatic text miner: It's just another type of poorly standardized data
The pragmatic text miner: It's just another type of poorly standardized data
Lars Juhl Jensen
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
Lars Juhl Jensen
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systems
Lars Juhl Jensen
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
Lars Juhl Jensen
The pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health records
Lars Juhl Jensen
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
Lars Juhl Jensen
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
Lars Juhl Jensen
One tagger, many uses: Illustrating the power of dictionary-based named entity recognition
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
Lars Juhl Jensen
Large-scale data and text mining
Large-scale data and text mining
Lars Juhl Jensen
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
Lars Juhl Jensen
STRING - Large-scale integration of data and text
STRING - Large-scale integration of data and text
STRING - Large-scale integration of data and text
Lars Juhl Jensen
STRING: Protein association networks
STRING: Protein association networks
STRING: Protein association networks
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
Lars Juhl Jensen
Similar to Large-scale integration of data and text
(18)
Data integration with STRING
Data integration with STRING
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
Pragmatic text mining: From literature to electronic health records
Pragmatic text mining: From literature to electronic health records
Network biology: A crash course on STRING and Cytoscape
Network biology: A crash course on STRING and Cytoscape
The pragmatic text miner: It's just another type of poorly standardized data
The pragmatic text miner: It's just another type of poorly standardized data
Network biology: Large-scale data integration and text mining
Network biology: Large-scale data integration and text mining
Systems biology - Bioinformatics on complete biological systems
Systems biology - Bioinformatics on complete biological systems
Biomarker bioinformatics: Network-based candidate prioritization
Biomarker bioinformatics: Network-based candidate prioritization
The pragmatic text miner: From literature to electronic health records
The pragmatic text miner: From literature to electronic health records
Advanced bioinformaticsof proteomics datasets
Advanced bioinformaticsof proteomics datasets
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Simple text-mining strategies for biomedicine
One tagger, many uses: Illustrating the power of dictionary-based named entit...
One tagger, many uses: Illustrating the power of dictionary-based named entit...
Large-scale data and text mining
Large-scale data and text mining
Network biology - Large-scale integration of data and text
Network biology - Large-scale integration of data and text
STRING - Large-scale integration of data and text
STRING - Large-scale integration of data and text
STRING: Protein association networks
STRING: Protein association networks
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
STRING: Protein networks from data and text mining
STRING: Protein networks from data and text mining
More from Lars Juhl Jensen
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Lars Juhl Jensen
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
Lars Juhl Jensen
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Lars Juhl Jensen
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Lars Juhl Jensen
Medical network analysis: Linking diseases and genes through data and text mining
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Lars Juhl Jensen
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Lars Juhl Jensen
Cellular networks
Cellular networks
Cellular networks
Lars Juhl Jensen
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Lars Juhl Jensen
Statistics on big biomedical data: Methods and pitfalls when analyzing high-throughput screens
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Lars Juhl Jensen
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Lars Juhl Jensen
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Cellular Network Biology
Cellular Network Biology
Cellular Network Biology
Lars Juhl Jensen
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Lars Juhl Jensen
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Lars Juhl Jensen
More from Lars Juhl Jensen
(20)
Extract 2.0: Text-mining-assisted interactive annotation
Extract 2.0: Text-mining-assisted interactive annotation
Network visualization: A crash course on using Cytoscape
Network visualization: A crash course on using Cytoscape
STRING & STITCH: Network integration of heterogeneous data
STRING & STITCH: Network integration of heterogeneous data
Biomedical text mining: Automatic processing of unstructured text
Biomedical text mining: Automatic processing of unstructured text
Medical network analysis: Linking diseases and genes through data and text mi...
Medical network analysis: Linking diseases and genes through data and text mi...
Network Biology: A crash course on STRING and Cytoscape
Network Biology: A crash course on STRING and Cytoscape
Cellular networks
Cellular networks
Cellular Network Biology: Large-scale integration of data and text
Cellular Network Biology: Large-scale integration of data and text
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Tagger: Rapid dictionary-based named entity recognition
Tagger: Rapid dictionary-based named entity recognition
Medical text mining: Linking diseases, drugs, and adverse reactions
Medical text mining: Linking diseases, drugs, and adverse reactions
Network biology: Large-scale integration of data and text
Network biology: Large-scale integration of data and text
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Cellular Network Biology
Cellular Network Biology
The Art of Counting: Scoring and ranking co-occurrences in literature
The Art of Counting: Scoring and ranking co-occurrences in literature
Text-mining-based retrieval of protein networks
Text-mining-based retrieval of protein networks
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Medical data and text mining: Linking diseases, drugs, and adverse reactions
Recently uploaded
Presentation from the "Opening up Research" conference organised by the University of Manchester's Office for Open Research. 24 April 2024 https://www.openresearch.manchester.ac.uk/ https://fairspectra.net https://alexhenderson.info
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
Alex Henderson
Science 9 4th Quarter DLL Week 5
Daily Lesson Log in Science 9 Fourth Quarter Physics
Daily Lesson Log in Science 9 Fourth Quarter Physics
WILSONROMA4
Cyanide resistant pathway
Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
Cherry
Reboulia
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
Cherry
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Cherry
Presentation at the BioFAIR Roadshow in Manchester. 23 April 2024 https://biofair.uk/ https://fairspectra.net
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical Science
Alex Henderson
This document contains grade 12 past exam papers for chemistry.
FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.
takadzanijustinmaime
Pteris
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
Cherry
Role of mutant in seeding development
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
RenuJangid3
Bioenergetics is an important domain in biology. This presentation has explored ATP production and its optimum utilization in biological systems along with certain theories and experiments to give a bird's eye view of this important issue.
Energy is the beat of life irrespective of the domains. ATP- the energy curre...
Energy is the beat of life irrespective of the domains. ATP- the energy curre...
Nistarini College, Purulia (W.B) India
Composting
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
Cherry
Porella
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
Cherry
This power point has 24 slides. These are prepared to provide relevant information for interested students & faculty in the areas of human & Veterinary endocrine & metabolic physiology.
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
muralinath2
dental
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
Module for Grade 9
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learning
levieagacer
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
Cherry
1. Introduction 2. Structure Elucidation 3. Wallach Degraded Oxidation 4. Synthesis 5. Spectroscopic Characterization 6. IR spectroscopy 7. H-NMR spectroscopy 8. C-NMR spectroscopy 9. Mass spectrometry 10. Application and uses. 11. Organic Reactions 1. Oxidation 2. Hydrogenation 3. Lactonisation 4. Cyclisation
Terpineol and it's characterization pptx
Terpineol and it's characterization pptx
MuhammadRazzaq31
Plasmid: types, structure and functions.
Plasmid: types, structure and functions.
Plasmid: types, structure and functions.
Cherry
its
ONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for vote
RaunakRastogi4
Human genetics
Human genetics..........................pptx
Human genetics..........................pptx
Cherry
Recently uploaded
(20)
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
Daily Lesson Log in Science 9 Fourth Quarter Physics
Daily Lesson Log in Science 9 Fourth Quarter Physics
Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
Reboulia: features, anatomy, morphology etc.
Reboulia: features, anatomy, morphology etc.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical Science
FS P2 COMBO MSTA LAST PUSH past exam papers.
FS P2 COMBO MSTA LAST PUSH past exam papers.
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
Energy is the beat of life irrespective of the domains. ATP- the energy curre...
Energy is the beat of life irrespective of the domains. ATP- the energy curre...
COMPOSTING : types of compost, merits and demerits
COMPOSTING : types of compost, merits and demerits
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
Module for Grade 9 for Asynchronous/Distance learning
Module for Grade 9 for Asynchronous/Distance learning
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
Terpineol and it's characterization pptx
Terpineol and it's characterization pptx
Plasmid: types, structure and functions.
Plasmid: types, structure and functions.
ONLINE VOTING SYSTEM SE Project for vote
ONLINE VOTING SYSTEM SE Project for vote
Human genetics..........................pptx
Human genetics..........................pptx
Large-scale integration of data and text
1.
Large-scale integration of
data and text Lars Juhl Jensen
2.
cellular network biology
3.
association networks
4.
guilt by association
5.
6.
molecular networks
7.
proteins
8.
string-db.org
9.
small molecules
10.
stitch-db.org
11.
subcellular localization
12.
compartments.jensenlab.org
13.
tissue expression
14.
tissues.jensenlab.org
15.
disease associations
16.
usage statistics
17.
heavily used
18.
19.
especially in the
US
20.
21.
data integration
22.
heterogeneous data
23.
curated knowledge
24.
experimental data
25.
computational predictions
26.
many databases
27.
different formats
28.
different identifiers
29.
variable quality
30.
not comparable
31.
hard work
32.
common identifiers
33.
quality scores
34.
score calibration
35.
missing most of
the data
36.
text mining
37.
>10 km
38.
named entity recognition
39.
comprehensive lexicon
40.
cyclin dependent kinase
1
41.
CDC2
42.
orthographic variation
43.
hCdc2
44.
“black list”
45.
SDS
46.
co-mentioning
47.
counting
48.
within documents
49.
within paragraphs
50.
within sentences
51.
IDG-specific tasks
52.
target classification
53.
text mining
54.
“protein studiedness”
55.
probabilistic counting
56.
resource integration
57.
disease associations
58.
tissue expression
59.
subcellular localization
60.
automation of updates
61.
web services
62.
remapping of identifiers
63.
predictions for dark
matter
64.
network-based inference
65.
questions?
Download now