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URL: http://www.sanger.ac.uk/resources/software/peer/
Proper Citation: PEER (RRID:SCR_009326)
Description: Software collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods. Applications of PEER have * detected batch effects and experimental confounders * increased the number of expression QTL findings by threefold * allowed inference of intermediate cellular traits, such as transcription factor or pathway activations This project offers an efficient and versatile C++ implementation of the underlying algorithms with user-friendly interfaces to R and python.
Abbreviations: PEER
Resource Type: software resource, software application
Defining Citation: PMID:21283789, PMID:20463871
Keywords: gene, genetic, genomic, c++, r, python
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Source: SciCrunch Registry
