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: 1.26.0
Date: 2022-10-04
Author: Zeya Wang <zw17.rice@gmail.com>, Shaolong
        Cao<scao@mdanderson.org>, Wenyi Wang <wwang7@@mdanderson.org>
Maintainer: Ruonan Li <RLi10@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, dendextend,
        psych, sva
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: 7.1.2
Packaged: 2025-11-11 13:58:38 UTC; root
Config/pak/sysreqs: make libbz2-dev liblzma-dev libpng-dev libxml2-dev
        libssl-dev xz-utils zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:50:59 UTC
RemoteUrl: https://github.com/bioc/DeMixT
RemoteRef: RELEASE_3_22
RemoteSha: 9343d6412461d12a09a245e8da8de0091015a1fd
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-11 14:08:13 UTC; windows
Archs: x64
