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Oral exposition slide share
Oral exposition slide share
Sohyun Shin
Tämä on voimassa oleva Valiokuntaopas, jonka puhemiesneuvosto on antanut 11.12.2007. Puhemiesneuvosto pohtii parhaillaan, miten opasta pitäisi päivittää, jotta se ottaisi huomioon kansalaisaloitteiden käsittelyn.
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Sec 4 e intro to othello
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MsTrottier
Understanding gene function (GF) is still a significant challenge in system biology. Previously, several machine learning and computational techniques have been used to understand GF. However, these previous attempts have not produced a comprehensive interpretation of the relationship between genes and differences in both age and gender. Although there are several thousand of genes, very few differentially expressed genes play an active role in understanding the age and gender differences. The core aim of this study is to uncover new biomarkers that can contribute towards distinguishing between male and female according to the gene expression levels of skeletal muscle (SM) tissues. In our proposed multi-filter system (MFS), genes are first sorted using three different ranking techniques (t-test, Wilcoxon and Receiver Operating Characteristic (ROC)). Later, important genes are acquired using majority voting based on the principle that combining multiple models can improve the generalization of the system. Experiments were conducted on Micro Array gene expression dataset and results have indicated a significant increase in classification accuracy when compared with existing system.
DISCOVERING DIFFERENCES IN GENDER-RELATED SKELETAL MUSCLE AGING THROUGH THE M...
DISCOVERING DIFFERENCES IN GENDER-RELATED SKELETAL MUSCLE AGING THROUGH THE M...
ijbbjournal
Recommended
Oral exposition slide share
Oral exposition slide share
Sohyun Shin
Tämä on voimassa oleva Valiokuntaopas, jonka puhemiesneuvosto on antanut 11.12.2007. Puhemiesneuvosto pohtii parhaillaan, miten opasta pitäisi päivittää, jotta se ottaisi huomioon kansalaisaloitteiden käsittelyn.
Eduskunnan Valiokuntaopas 2008
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Joonas Pekkanen
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elisabethmeltone
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Pràctiques del tema 3
Pràctiques del tema 3
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Sec 4 e intro to othello
Sec 4 e intro to othello
MsTrottier
Understanding gene function (GF) is still a significant challenge in system biology. Previously, several machine learning and computational techniques have been used to understand GF. However, these previous attempts have not produced a comprehensive interpretation of the relationship between genes and differences in both age and gender. Although there are several thousand of genes, very few differentially expressed genes play an active role in understanding the age and gender differences. The core aim of this study is to uncover new biomarkers that can contribute towards distinguishing between male and female according to the gene expression levels of skeletal muscle (SM) tissues. In our proposed multi-filter system (MFS), genes are first sorted using three different ranking techniques (t-test, Wilcoxon and Receiver Operating Characteristic (ROC)). Later, important genes are acquired using majority voting based on the principle that combining multiple models can improve the generalization of the system. Experiments were conducted on Micro Array gene expression dataset and results have indicated a significant increase in classification accuracy when compared with existing system.
DISCOVERING DIFFERENCES IN GENDER-RELATED SKELETAL MUSCLE AGING THROUGH THE M...
DISCOVERING DIFFERENCES IN GENDER-RELATED SKELETAL MUSCLE AGING THROUGH THE M...
ijbbjournal
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International Journal on Bioinformatics & Biosciences (IJBB)
Structural Studies of Aspartic Endopeptidase pep2 from Neosartorya Fisherica ...
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ijbbjournal
Sec 2 e writing tips
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Having trouble adding audio. Here is link: http://vocaroo.com/i/s0obpW1mTsi6
Coaching male and female adolescents together
Coaching male and female adolescents together
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Sec 4 e of mice and men
Sec 4 e of mice and men
MsTrottier
Latest progress in biology, medical science, bioinformatics, and biotechnology has become important and tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns in large databases. This paper bridge the two fields, data mining and bioinformatics for successful mining of biological data. Microarrays constitute a new platform which allows the discovery and characterization of proteins.
ANALYSIS OF PROTEIN MICROARRAY DATA USING DATA MINING
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Computational identification of Brassica napus pollen specific protein Bnm1 a...
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Population-based Ant Colony algorithm is stochastic local search algorithm that mimics the behavior of real ants, simulating pheromone trails to search for solutions to combinatorial optimization problems. This paper introduces population-based Ant Colony algorithm to solve 3D Hydrophobic Polar Protein structure Prediction Problem then introduces a new enhanced approach of population-based Ant Colony algorithm called Enhanced Population-based Ant Colony algorithm (EP-ACO) to avoid stagnation problem in population-based Ant Colony algorithm and increase exploration in the search space escaping from local optima, The experiments show that our approach appears more efficient results than state of art method.
ENHANCED POPULATION BASED ANT COLONY FOR THE 3D HYDROPHOBIC POLAR PROTEIN STR...
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Latest progress in biology, medical science, bioinformatics, and biotechnology has become important and tremendous amounts of biodata that demands in-depth analysis. On the other hand, recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns in large databases. This paper bridge the two fields, data mining and bioinformatics for successful mining of biological data. Microarrays constitute a new platform which allows the discovery and characterization of proteins.
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Population-based Ant Colony algorithm is stochastic local search algorithm that mimics the behavior of real ants, simulating pheromone trails to search for solutions to combinatorial optimization problems. This paper introduces population-based Ant Colony algorithm to solve 3D Hydrophobic Polar Protein structure Prediction Problem then introduces a new enhanced approach of population-based Ant Colony algorithm called Enhanced Population-based Ant Colony algorithm (EP-ACO) to avoid stagnation problem in population-based Ant Colony algorithm and increase exploration in the search space escaping from local optima, The experiments show that our approach appears more efficient results than state of art method.
ENHANCED POPULATION BASED ANT COLONY FOR THE 3D HYDROPHOBIC POLAR PROTEIN STR...
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Information-Theory Analysis of Cell Characteristics in Breast Cancer Patients
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ANALYSIS OF PROTEIN MICROARRAY DATA USING DATA MINING
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