DeMixT 1.6.0 – Deconvolution on Transcriptome data from a mixture of two or three components

DeMixT 1.6.0

:: DESCRIPTION

DeMixT is a deconvolution framework for mixed transcriptomes from heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms.

::DEVELOPER

Statistical Bioinformatics Lab, The University of Texas M. D. Anderson Cancer Center

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /MacOsX
  • R package
  • BioCOnductor

:: DOWNLOAD

 DeMixT

:: MORE INFORMATION

Citation

Wang Z, Cao S, Morris JS, Ahn J, Liu R, Tyekucheva S, Gao F, Li B, Lu W, Tang X, Wistuba II, Bowden M, Mucci L, Loda M, Parmigiani G, Holmes CC, Wang W.
Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration.
iScience. 2018 Nov 30;9:451-460. doi: 10.1016/j.isci.2018.10.028. Epub 2018 Nov 2. PMID: 30469014; PMCID: PMC6249353.

Bioinformatics. 2013 Aug 1;29(15):1865-71. doi: 10.1093/bioinformatics/btt301.
DeMix: deconvolution for mixed cancer transcriptomes using raw measured data.
Ahn J, Yuan Y, Parmigiani G, Suraokar MB, Diao L, Wistuba II, Wang W.