Overview
Tumor samples consisting of both cancer and stromal tissues are a major
cause of under-detection of gene expression biomarkers for cancer
prognosis. In silico dissection of mixture components is essential
for analyzing expression data generated in cancer studies.
This project implements a statistical approach for deconvolving mixed
cancer transcriptomes that assesses tumor-specific proportions in mixed
tumor samples using the raw-measured data and reconstitutes individual
gene expressions of normal and tumor samples.
Installation
From within an R session, type the following:
R>source("http://bioconductor.org/biocLite.R") R>biocLite("DSS", dependencies=TRUE) R>install.packages("DeMix", repos="http://r-forge.r-project.org", dependencies=TRUE)