Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses

We present PEER (probabilistic estimation of expression residuals), a software package implementing statistical models that improve the sensitivity and interpretability of genetic associations in population-scale expression data. This approach builds on factor analysis methods that infer broad varia...

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Bibliographic Details
Published in:	Nature protocols Vol. 7; no. 3; pp. 500 - 507
Main Authors:	Stegle, Oliver, Parts, Leopold, Piipari, Matias, Winn, John, Durbin, Richard
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.03.2012 Nature Publishing Group
Subjects:	631/114/794 631/1647/2017 Algorithms Analysis Analytical Chemistry Association analysis Biological Techniques Biomedical and Life Sciences Computational Biology/Bioinformatics Computer programs Computers Data processing Factor analysis Factor Analysis, Statistical Gene expression Gene Expression Profiling - methods Gene Expression Profiling - statistics & numerical data Gene mapping Genetic aspects Genetic Association Studies - methods Life Sciences Mathematical models Microarrays Models, Statistical Organic Chemistry Physiological aspects Protocol Sensitivity and Specificity Software Statistical analysis Statistical models Transcription Transcription factors Variables Yeast fungi United Kingdom > UK Germany
ISSN:	1754-2189, 1750-2799, 1750-2799
Online Access:	Get full text
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