New insights into the genetic control of gene expression using a bayesian multi-tissue approach

PLoS Computational Biology

Volumn 6, Issue 4, 2010, Pages

  Petretto, Enrico ^a   Bottolo, Leonardo ^a   Langley, Sarah R ^a   Heinig, Matthias ^b   McDermott Roe, Chris ^a   Sarwar, Rizwan ^a   Pravenec, Michal ^c,d   Hübner, Norbert ^b   Aitman, Timothy J ^a,e   Cook, Stuart A ^a,f   Richardson, Sylvia ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b MAX DELBRÜCK CENTER FOR MOLECULAR MEDICINE   (Germany)

^c INSTITUTE OF PHYSIOLOGY   (Czech Republic)

^d CHARLES UNIVERSITY   (Czech Republic)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

^f NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; GENE EXPRESSION REGULATION; HISTOLOGY; REGRESSION ANALYSIS; STATISTICAL TESTS;

BAYESIAN; CELL TYPES; CONTROL OF GENE EXPRESSION; GENES EXPRESSION; GENETIC CONTROL; GLOBAL ANALYSIS; INFORMATION SHARED; QUANTITATIVE TRAIT LOCUS; STATISTICAL FRAMEWORK; TISSUE TYPES;

TISSUE;

GENE PRODUCT; PROTEIN HOPX; UNCLASSIFIED DRUG;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; GENE EXPRESSION REGULATION; GENE IDENTIFICATION; GENETIC REGULATION; INTERMETHOD COMPARISON; MOLECULAR MODEL; PHENOTYPE; QUANTITATIVE TRAIT LOCUS MAPPING; REGRESSION ANALYSIS; STATISTICAL MODEL; TISSUE SECTION; ADIPOSE TISSUE; ADRENAL GLAND; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HEART VENTRICLE; HUMAN; KIDNEY; METABOLISM; METHODOLOGY; QUANTITATIVE TRAIT LOCUS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADIPOSE TISSUE; ADRENAL GLANDS; ALGORITHMS; ANIMALS; BAYES THEOREM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HEART VENTRICLES; HUMANS; KIDNEY; MODELS, GENETIC; QUANTITATIVE TRAIT LOCI; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952588387     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000737     Document Type: Article

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