| Literature DB >> 20208531 |
Shai S Shen-Orr1, Robert Tibshirani, Purvesh Khatri, Dale L Bodian, Frank Staedtler, Nicholas M Perry, Trevor Hastie, Minnie M Sarwal, Mark M Davis, Atul J Butte.
Abstract
We describe cell type-specific significance analysis of microarrays (csSAM) for analyzing differential gene expression for each cell type in a biological sample from microarray data and relative cell-type frequencies. First, we validated csSAM with predesigned mixtures and then applied it to whole-blood gene expression datasets from stable post-transplant kidney transplant recipients and those experiencing acute transplant rejection, which revealed hundreds of differentially expressed genes that were otherwise undetectable.Entities:
Mesh:
Year: 2010 PMID: 20208531 PMCID: PMC3699332 DOI: 10.1038/nmeth.1439
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547