DESCRIPTION

Package: DeMixT
Title: Cell type-specific deconvolution of heterogeneous tumor samples
        with two or three components using expression data from RNAseq
        or microarray platforms
Version: 1.20.1
Date: 2024-06-23
Author: Zeya Wang <zw17.rice@gmail.com>, Shaolong
        Cao<caoshaolong@gmail.com>, Wenyi Wang <wwang7@@mdanderson.org>
Maintainer: Shuangxi Ji<sji@mdanderson.org>
Description: DeMixT is a software package that performs deconvolution on transcriptome 
             data from a mixture of two or three components.
LazyData: TRUE
Depends: R (>= 3.6.0), parallel, Rcpp (>= 1.0.0), SummarizedExperiment,
        knitr, KernSmooth, matrixcalc, rmarkdown, DSS, sva, dendextend
Imports: matrixStats, stats, truncdist, base64enc, ggplot2
LinkingTo: Rcpp
NeedsCompilation: yes
VignetteBuilder: knitr
biocViews: Software, StatisticalMethod, Classification, GeneExpression,
        Sequencing, Microarray, TissueMicroarray, Coverage
License: GPL-3
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/DeMixT
git_branch: master
git_last_commit: c4b178c
git_last_commit_date: 2024-06-23
Date/Publication: 2024-06-23
Packaged: 2024-06-23 16:16:19 UTC; biocbuild