DeconRNASeq-package {DeconRNASeq} | R Documentation |
Main function "DeconRNASeq" implements an nonnegative decomposition by quadratic programming as datasets = signature*A, where "datasets" are the originally measured data matrix (e.g. genes by samples), "signature" is the signature matrix (genes by cell types) and "A" the cell type concentration matrix (cell types by samples)
Package: | DeconRNASeq |
Type: | Package |
Version: | 1.0 |
Date: | 2012-05-25 |
License: | GPL version 2 or later |
DeconRNASeq(datasets, signature)
Ting Gong tinggong@gmail.com Joseph D. Szustakowski joseph.szustakowski@novartis.com
Gong, T., et al. (2011) Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples, PLoS One, 6, e27156.