RECORDANDO A CAMARÓN DE LA ISLA- Enrique F. Widmann-Miguel (2013)Carlos Cueto
José Monje Cruz, más conocido como Camarón de la Isla, fue el genial cantaor que revolucionara el flamenco en la década de los setenta,
De raza gitana, fue una de las grandes figuras del flamenco, en el que introdujo innovaciones estilísticas que, aunque le alejaban de lo tradicional y purista, lo acercaban al público más joven.
Los 11 destinos mundiales más demandados para estudiar inglés Alejandro Garcia
Los 11 destinos mundiales más demandados para estudiar inglés
El nivel de inglés de los colombianos es muy bajo, tan así que el Índice de Nivel de Inglés EF EPI (English Proficiency Index), ubica al país en el lugar 42 de 54 naciones evaluadas. Para quienes quieran aprenderlo Ecoaula les recomienda más de una decena de países.
RECORDANDO A CAMARÓN DE LA ISLA- Enrique F. Widmann-Miguel (2013)Carlos Cueto
José Monje Cruz, más conocido como Camarón de la Isla, fue el genial cantaor que revolucionara el flamenco en la década de los setenta,
De raza gitana, fue una de las grandes figuras del flamenco, en el que introdujo innovaciones estilísticas que, aunque le alejaban de lo tradicional y purista, lo acercaban al público más joven.
Los 11 destinos mundiales más demandados para estudiar inglés Alejandro Garcia
Los 11 destinos mundiales más demandados para estudiar inglés
El nivel de inglés de los colombianos es muy bajo, tan así que el Índice de Nivel de Inglés EF EPI (English Proficiency Index), ubica al país en el lugar 42 de 54 naciones evaluadas. Para quienes quieran aprenderlo Ecoaula les recomienda más de una decena de países.
BoyarMiller Breakfast Forum: The Energy Industry 2016 – Looking ForwardBoyarMiller
As part of its ongoing Breakfast Forum series, BoyarMiller gathered industry experts for a discussion on the energy industry.
Speakers included David A. Pursell with Tudor, Pickering, Holt & Co., Matthew G. Pilon with Simmons & Company International and Robert A. Dye, Ph.D. with Comerica Bank.
AjaxTocco Magnethermic presentation for AAM 2015 conference in Houston TexasAjaxTocco Magnethermic
Induction Heat Treating Complexities for the Tube and Pipe Industry. After working with multiple end users who have had issues with off brand heat treating systems we presented this outline to help customers to understand that Heat Treating is very complex and requires expertise beyond just the ability to heat pipe with induction.
Har ni koll på balansräkningens största post? - IBM Smarter Business 2013IBM Sverige
Fastigheter är ofta den största enskilda tillgångsposten på
balansräkningen och kan också stå för en av de största kostnadsposterna.
Vi visar hur ni kan få kontroll på era fastighetskostnader,
energiförbrukning, lokalplanering och nyttjandegrad. Vi kommer också att
beröra hur de nya reglerna för redovisning av hyrda/leasade
anläggningstillgångar kan mötas med hjälp av IBMs lösningar för Smarter
Buildings. Talare: Claire Penny, Business Development Executive - Smarter Physical Infrastructure, IBM. Mer från dagen på http://bit.ly/sb13se
This is my one of the implemented project in which I played the over all ownership in Design, Configuration, Integration, Implementation and documentation. Due to security reason naming and IP address in this design are not correct.
You are dumb at the internet. You don't know what will go viral. We don't either. But we are slighter less dumber. So here's a bunch of stuff we learned that will help you be less dumb too.
BoyarMiller Breakfast Forum: The Energy Industry 2016 – Looking ForwardBoyarMiller
As part of its ongoing Breakfast Forum series, BoyarMiller gathered industry experts for a discussion on the energy industry.
Speakers included David A. Pursell with Tudor, Pickering, Holt & Co., Matthew G. Pilon with Simmons & Company International and Robert A. Dye, Ph.D. with Comerica Bank.
AjaxTocco Magnethermic presentation for AAM 2015 conference in Houston TexasAjaxTocco Magnethermic
Induction Heat Treating Complexities for the Tube and Pipe Industry. After working with multiple end users who have had issues with off brand heat treating systems we presented this outline to help customers to understand that Heat Treating is very complex and requires expertise beyond just the ability to heat pipe with induction.
Har ni koll på balansräkningens största post? - IBM Smarter Business 2013IBM Sverige
Fastigheter är ofta den största enskilda tillgångsposten på
balansräkningen och kan också stå för en av de största kostnadsposterna.
Vi visar hur ni kan få kontroll på era fastighetskostnader,
energiförbrukning, lokalplanering och nyttjandegrad. Vi kommer också att
beröra hur de nya reglerna för redovisning av hyrda/leasade
anläggningstillgångar kan mötas med hjälp av IBMs lösningar för Smarter
Buildings. Talare: Claire Penny, Business Development Executive - Smarter Physical Infrastructure, IBM. Mer från dagen på http://bit.ly/sb13se
This is my one of the implemented project in which I played the over all ownership in Design, Configuration, Integration, Implementation and documentation. Due to security reason naming and IP address in this design are not correct.
You are dumb at the internet. You don't know what will go viral. We don't either. But we are slighter less dumber. So here's a bunch of stuff we learned that will help you be less dumb too.
This is a simple portfolio in which I describe what con I do during a design process: from concept to brief, from navigation maps to detailed wireframes, from personas to scenarios ...
Gaining Confidence in Signalling and Regulatory NetworksMichael Stumpf
Mathematical models of signalling and gene regulatory systems are abstractions of much more complicated processes. Even as more and larger data sets are becoming available we are not be able to dispense entirely with mechanistic models of real-world processes; nor should we. However, trying to develop informative and realistic models of such systems typically involves suitable statistical inference methods, domain expertise and a modicum of luck. Except
for cases where physical principles provide sucient guidance it will also be generally possible to come up with a large number of potential models that are compatible with a given biological system and any finite amount of data generated from experiments on that system.
Here I will discuss how we can systematically evaluate
potentially vast sets of mechanistic candidate models in light
of experimental and prior knowledge about biological systems. This enables us to evaluate quantitatively
the dependence of model inferences and predictions on the assumed model structures. Failure to consider the impact of structural uncertainty introduces biases into the analysis and potentially gives rise to misleading conclusions.
Statistical analysis of network data and evolution on GPUs: High-performance ...Michael Stumpf
Talk given on the 25th of January 2012 at the GPU in Statistics workshop in Warwick.
The talk covers approximate Bayesian computation (ABC) on GPUs, how to use spectral graph theory in ABC, and how to generate good random numbers on GPUs.
263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
263778731218 Abortion Clinic /Pills In Harare ,ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group of receptionists, nurses, and physicians have worked together as a teamof receptionists, nurses, and physicians have worked together as a team wwww.lisywomensclinic.co.za/
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Hemodialysis: Chapter 3, Dialysis Water Unit - Dr.Gawad
Time-Variable Networks in Candida Glabrata
1. Time-Variable Gene Regulation Networks in Candida Glabrata
Michael P.H. Stumpf & Thomas Thorne
Theoretical Systems Biology Group, Division of Molecular
Biosciences, Imperial College London
12th June 2011
3. Biology is Dynamic — Networks Change with Time
A B
• Inferred regulatory network structures represent correlations rather than direct interactions.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 2 of 11
4. Biology is Dynamic — Networks Change with Time
P
A A
• Inferred regulatory network structures represent correlations rather than direct interactions.
• Gene products may require activation and need to be transported into the nucleus to
influence regulation; or complexes formed by signalling cascades may be required to
activate transcription.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 2 of 11
5. Biology is Dynamic — Networks Change with Time
P
A A
• Inferred regulatory network structures represent correlations rather than direct interactions.
• Gene products may require activation and need to be transported into the nucleus to
influence regulation; or complexes formed by signalling cascades may be required to
activate transcription.
• Many factors that are not a part of a traditional regulatory network model can also influence
regulatory interactions.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 2 of 11
6. Biology is Dynamic — Networks Change with Time
P
A A B
• Inferred regulatory network structures represent correlations rather than direct interactions.
• Gene products may require activation and need to be transported into the nucleus to
influence regulation; or complexes formed by signalling cascades may be required to
activate transcription.
• Many factors that are not a part of a traditional regulatory network model can also influence
regulatory interactions.
• These relationships may change depending on external signals or other factors.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 2 of 11
7. Capturing Biological Dynamics — Changepoint Models for
Networks
• We can include hidden factors that my change the regulatory interactions taking place in our model by
allowing the regulatory network structure to vary between timepoints and/or conditions.
• In changepoint models the time series is divided into a number of segments, allowing a different
network structure in each.
• Using Bayesian inference it is possible to infer the posterior distribution of changepoint positions.
`
S. Lebre, J. Becq, F. Devaux, M. P. H. Stumpf, G. Lelandais, Statistical inference of the time-varying structure of gene-regulation networks. BMC Systems
Biology, 4:130, 2010.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 3 of 11
8. Capturing Biological Dynamics — Changepoint Models for
Networks
• We can include hidden factors that my change the regulatory interactions taking place in our model by
allowing the regulatory network structure to vary between timepoints and/or conditions.
• In changepoint models the time series is divided into a number of segments, allowing a different
network structure in each.
• Using Bayesian inference it is possible to infer the posterior distribution of changepoint positions.
Time point 1 2 3 4 5 6 7 8 9 10
`
S. Lebre, J. Becq, F. Devaux, M. P. H. Stumpf, G. Lelandais, Statistical inference of the time-varying structure of gene-regulation networks. BMC Systems
Biology, 4:130, 2010.
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 3 of 11
9. The Chinese Restaurant Process
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 4 of 11
10. The Chinese Restaurant Process
θ1 θ2 θ3 θ4
Analogy for the Dirichlet process due to Pitman and Dubins
´ ´ ´ ´
D. Aldous, Exchangeability and Related Topics. In l’Ecole d’ete de probabilites de Saint-Flour, XIII, pages 1-198. 1983
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 4 of 11
11. The Chinese Restaurant Process
θ1 θ2 θ3 θ4
H
Analogy for the Dirichlet process due to Pitman and Dubins
´ ´ ´ ´
D. Aldous, Exchangeability and Related Topics. In l’Ecole d’ete de probabilites de Saint-Flour, XIII, pages 1-198. 1983
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 4 of 11
12. The Chinese Restaurant Process
θ1 θ2 θ3 θ4 θ5
Analogy for the Dirichlet process due to Pitman and Dubins
´ ´ ´ ´
D. Aldous, Exchangeability and Related Topics. In l’Ecole d’ete de probabilites de Saint-Flour, XIII, pages 1-198. 1983
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 4 of 11
13. The Chinese Restaurant Process
...
θ1 θ2 θ3 θ4 θ5
H
Analogy for the Dirichlet process due to Pitman and Dubins
´ ´ ´ ´
D. Aldous, Exchangeability and Related Topics. In l’Ecole d’ete de probabilites de Saint-Flour, XIII, pages 1-198. 1983
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 4 of 11
14. What We Want to Know is Often Not Measured: Hidden Markov
Models
• Here we measure transcriptomic data, whereas the action is all due to proteins and
their interactions among themselves and with DNA/RNA.
• We measure mRNA expression (yi ) which is influenced by a network (si ) that is not
or cannot be observed directly.
• We allow the network to change and learn this change from the observed data.
π s1
s1
θs1
y1
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 5 of 11
15. What We Want to Know is Often Not Measured: Hidden Markov
Models
• Here we measure transcriptomic data, whereas the action is all due to proteins and
their interactions among themselves and with DNA/RNA.
• We measure mRNA expression (yi ) which is influenced by a network (si ) that is not
or cannot be observed directly.
• We allow the network to change and learn this change from the observed data.
s1 s2
θs1 θs2
y1 y2
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 5 of 11
16. What We Want to Know is Often Not Measured: Hidden Markov
Models
• Here we measure transcriptomic data, whereas the action is all due to proteins and
their interactions among themselves and with DNA/RNA.
• We measure mRNA expression (yi ) which is influenced by a network (si ) that is not
or cannot be observed directly.
• We allow the network to change and learn this change from the observed data.
s1 s2 s3 ... sT
θs1 θs2 θs3 θsT
y1 y2 y3 ... yT
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 5 of 11
17. Systems at Different Times are Related: The Chinese Restaurant
Franchise
θ2 θ1 θ1 θ3 θ2 θ2
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 6 of 11
18. Systems at Different Times are Related: The Chinese Restaurant
Franchise
θ2 θ1 θ1 θ3 θ2 θ2
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 6 of 11
19. Systems at Different Times are Related: The Chinese Restaurant
Franchise
α
θ2 θ1 θ1 θ3 θ2 θ2
γ
θ1 θ2 θ3 θ ∼H
Time-Variable Networks in Candida Glabrata Stumpf&Thorne 6 of 11