Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
Top Cited Papers
Open Access
- 16 February 2012
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Protocols
- Vol. 7 (3), 500-507
- https://doi.org/10.1038/nprot.2011.457
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Identification of an imprinted master trans regulator at the KLF14 locus related to multiple metabolic phenotypesNature Genetics, 2011
- A map of human genome variation from population-scale sequencingNature, 2010
- Transcriptome genetics using second generation sequencing in a Caucasian populationNature, 2010
- Understanding mechanisms underlying human gene expression variation with RNA sequencingNature, 2010
- Genetics of human gene expression: mapping DNA variants that influence gene expressionNature Reviews Genetics, 2009
- Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networksNature Genetics, 2008
- Population genomics of human gene expressionNature Genetics, 2007
- Genetics of global gene expressionNature Reviews Genetics, 2006
- Genome-wide genetic association of complex traits in heterogeneous stock miceNature Genetics, 2006
- An integrative genomics approach to infer causal associations between gene expression and diseaseNature Genetics, 2005