DeMix: Deconvolution Models for Mixed Transcriptomes from Heterogeneous Tumor Samples

Implementation of a statistical method for deconvolving expression data of mixed cancer tissues. It provides an estimation of both tumor proportion and tumor-specific expression (when neither is known a priori), and an estimation of individualized expression profiles for both tumor and stromal tissues.

AuthorJaeil Ahn
Date of publication2016-11-05 13:59:18
Maintainer"Jaeil Ahn" <ja1030@georgetown.edu>
LicenseArtistic-2.0
Version0.2.0
http://r-forge.r-project.org/projects/demix

View on R-Forge

Files

DESCRIPTION
NAMESPACE
R
R/Filter.R R/Model.R R/Normalization.R R/scalar.R
build
build/DeMix.pdf
data
data/datalist
data/ntot_NT_Liver.RData
inst
inst/COPYRIGHTS
inst/NEWS.Rd
man
man/DeMix-package.Rd man/Filter.Rd man/Normalization.Rd man/ntot_NT_Liver-data.Rd
src
src/bayes_para.h
src/main_firstparallel.c

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