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)
      

Reference