Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics
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Published By Oxford University Press

9780198709022

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Scoring, Searching and Evaluating Bayesian Network Models of Gene-phenotype Association

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0011 ◽

2014 ◽

pp. 269-293

Author(s):

Xia Jiang ◽

Shyam Visweswaran ◽

Richard E. Neapolitan

Keyword(s):

Bayesian Network ◽

Network Models ◽

Bayesian Network Models

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Structural Equation Models for Studying Causal Phenotype Networks in Quantitative Genetics

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0008 ◽

2014 ◽

pp. 196-214

Author(s):

Guilherme J. M. Rosa ◽

Bruno D. Valente

Keyword(s):

Quantitative Genetics ◽

Structural Equation ◽

Structural Equation Models

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Graphical Modeling of Biological Pathways in Genome-wide Association Studies

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0012 ◽

2014 ◽

pp. 294-317

Author(s):

Min Chen ◽

Judy Cho ◽

Hongyu Zhao

Keyword(s):

Association Studies ◽

Biological Pathways ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Graphical Modeling ◽

Genome Wide

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Modeling Linkage Disequilibrium and Performing Association Studies through Probabilistic Graphical Models: a Visiting Tour of Recent Advances

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0009 ◽

2014 ◽

pp. 217-246 ◽

Cited By ~ 1

Author(s):

Christine Sinoquet ◽

Raphaël Mourad

Keyword(s):

Linkage Disequilibrium ◽

Graphical Models ◽

Association Studies ◽

Probabilistic Graphical Models ◽

Recent Advances

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Bayesian Causal Phenotype Network Incorporating Genetic Variation and Biological Knowledge

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0007 ◽

2014 ◽

pp. 165-195 ◽

Cited By ~ 3

Author(s):

Jee Young Moon ◽

Elias Chaibub Neto ◽

Xinwei Deng ◽

Brian S. Yandell

Keyword(s):

Genetic Variation ◽

Biological Knowledge ◽

Phenotype Network

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Detection of Copy Number Variations from Array Comparative Genomic Hybridization Data Using Linear-chain Conditional Random Field Models

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0016 ◽

2014 ◽

pp. 409-428

Author(s):

Xiaolin Yin ◽

Jing Li

Keyword(s):

Random Field ◽

Comparative Genomic Hybridization ◽

Copy Number ◽

Array Comparative Genomic Hybridization ◽

Conditional Random Field ◽

Linear Chain ◽

Copy Number Variations ◽

Comparative Genomic ◽

Genomic Hybridization ◽

Hybridization Data

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Network Inference in Breast Cancer with Gaussian Graphical Models and Extensions

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0005 ◽

2014 ◽

pp. 121-146

Author(s):

Marine Jeanmougin ◽

Camille Charbonnier ◽

Mickaël Guedj ◽

Julien Chiquet

Keyword(s):

Breast Cancer ◽

Graphical Models ◽

Network Inference ◽

Gaussian Graphical Models

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Comparison of Mixture Bayesian and Mixture Regression Approaches to Infer Gene Networks

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0004 ◽

2014 ◽

pp. 105-120

Author(s):

Sandra L. Rodriguez–Zas ◽

Bruce R. Southey

Keyword(s):

Gene Networks ◽

Mixture Regression

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Essentials to Understand Probabilistic Graphical Models: A Tutorial about Inference and Learning

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0002 ◽

2014 ◽

pp. 30-82

Author(s):

Christine Sinoquet

Keyword(s):

Graphical Models ◽

Probabilistic Graphical Models

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Prediction of Clinical Outcomes from Genome-wide Data

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics ◽

10.1093/acprof:oso/9780198709022.003.0017 ◽

2014 ◽

pp. 431-446

Author(s):

Shyam Visweswaran

Keyword(s):

Clinical Outcomes ◽

Genome Wide ◽

Genome Wide Data

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Probabilistic Graphical Models for Genetics, Genomics, and PostgenomicsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Oxford University Press

Scoring, Searching and Evaluating Bayesian Network Models of Gene-phenotype Association

Structural Equation Models for Studying Causal Phenotype Networks in Quantitative Genetics

Graphical Modeling of Biological Pathways in Genome-wide Association Studies

Modeling Linkage Disequilibrium and Performing Association Studies through Probabilistic Graphical Models: a Visiting Tour of Recent Advances

Bayesian Causal Phenotype Network Incorporating Genetic Variation and Biological Knowledge

Detection of Copy Number Variations from Array Comparative Genomic Hybridization Data Using Linear-chain Conditional Random Field Models

Network Inference in Breast Cancer with Gaussian Graphical Models and Extensions

Comparison of Mixture Bayesian and Mixture Regression Approaches to Infer Gene Networks

Essentials to Understand Probabilistic Graphical Models: A Tutorial about Inference and Learning

Prediction of Clinical Outcomes from Genome-wide Data

Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics
Latest Publications