DeMixT
This is the released version of DeMixT; for the devel version, see DeMixT.
All Bioconductor versions of DeMixT
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9
Cell type-specific deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms
Bioconductor version: 3.23 · Package version: 2.0.0
DeMixT is a software package that performs deconvolution on transcriptome data from a mixture of two or three components.
Author: Zeya Wang [aut], Shaolong Cao [aut], Liyang Xie [aut], Ruonan Li [cre], Wenyi Wang [aut]
Maintainer: Ruonan Li <RLi10 at mdanderson.org>
Citation
From within R, enter citation("DeMixT"):
Zeya Wang, Shaolong Cao, Liyang Xie, Wenyi Wang. DeMixT: Cell type-specific deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms. doi:10.18129/B9.bioc.DeMixT, R package version 2.0.0, https://bioconductor.org/packages/DeMixT.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DeMixT")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 2.0.0 |
| License | GPL-3 |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.9 (R-3.6) (7 years) |
| Downloads rank | 1011 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Coverage, GeneExpression, Microarray, Sequencing, Software, StatisticalMethod, TissueMicroarray |
| Package Short Url | https://bioconductor.org/packages/DeMixT/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DeMixT")| A Vignette for DeMixT | HTML | R Script |
| DeMixNB: Deconvolution for Sparse Count Data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | DeMixT_2.0.0.tar.gz |
| Windows binary (x86_64) | DeMixT_2.0.0.zip |
| macOS binary (arm64) | DeMixT_2.0.0.tgz |
| macOS binary (x86_64) | DeMixT_2.0.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DeMixT |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DeMixT |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.0.0), parallel, Rcpp (>= 1.0.0), SummarizedExperiment
Imports: matrixStats, stats, truncdist, base64enc, ggplot2, KernSmooth, matrixcalc, sva, dendextend, fitdistrplus, pbapply, psych, magrittr, graphics, grDevices, S4Vectors
LinkingTo: Rcpp