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.

Author
Jaeil Ahn
Date of publication
2016-11-05 13:59:18
Maintainer
"Jaeil Ahn" <ja1030@georgetown.edu>
License
Artistic-2.0
Version
0.2.0
URLs

View on R-Forge

Man pages

DeMix-package
\Sexpr[results=text]{packageDescription("DeMix")$Title}
Filter
Filters uninformative gene expressions during first stage of...
Normalization
Normalization for DeMix
ntot_NT_Liver-data
TBD expression in cell lines

Files in this package

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