Package: DeMixT 2.1.0

Ruonan Li

DeMixT: Cell type-specific deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms

DeMixT is a software package that performs deconvolution on transcriptome data from a mixture of two or three components.

Authors:Zeya Wang [aut], Shaolong Cao [aut], Liyang Xie [aut], Ruonan Li [cre], Wenyi Wang [aut]

DeMixT_2.1.0.tar.gz
DeMixT_2.1.0.zip(r-4.7)DeMixT_2.1.0.zip(r-4.6)DeMixT_2.1.0.zip(r-4.5)
DeMixT_2.1.0.tgz(r-4.6-x86_64)DeMixT_2.1.0.tgz(r-4.6-arm64)DeMixT_2.1.0.tgz(r-4.5-x86_64)DeMixT_2.1.0.tgz(r-4.5-arm64)
DeMixT_2.1.0.tar.gz(r-4.7-arm64)DeMixT_2.1.0.tar.gz(r-4.7-x86_64)DeMixT_2.1.0.tar.gz(r-4.6-arm64)DeMixT_2.1.0.tar.gz(r-4.6-x86_64)
DeMixT_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
DeMixT/json (API)
NEWS

# Install 'DeMixT' in R:
install.packages('DeMixT', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On BioConductor:DeMixT-2.1.0(bioc 3.24)DeMixT-2.0.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwarestatisticalmethodclassificationgeneexpressionsequencingmicroarraytissuemicroarraycoveragecppopenmp

5.78 score 30 scripts 395 downloads 5 mentions 18 exports 91 dependencies

Last updated from:7874c43e7a. Checks:1 WARNING, 11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING202
linux-devel-arm64NOTE319
linux-devel-x86_64NOTE415
source / vignettesOK302
linux-release-arm64NOTE313
linux-release-x86_64NOTE381
macos-release-arm64NOTE221
macos-release-x86_64NOTE466
macos-oldrel-arm64NOTE198
macos-oldrel-x86_64NOTE445
windows-develNOTE418
windows-releaseNOTE439
windows-oldrelNOTE449
wasm-releaseOK180

Exports:batch_correctionDeMixNBDeMixNB_preprocessingDeMixTDeMixT_DEDeMixT_GSDeMixT_preprocessingDeMixT_S2detect_suspicious_sample_by_hierarchical_clustering_2compgene_selection_DEOptimum_KernelCplot_dimplot_sdscale_normalization_75th_percentilesimulate_2compsimulate_3compsubset_sdsubset_sd_gene_remaining

Dependencies:abindannotateAnnotationDbiaskpassbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIDelayedArraydendextendedgeRevdfarverfastmapfitdistrplusformatRfutile.loggerfutile.optionsgenefiltergenericsGenomicRangesggplot2glueGPArotationgridExtragtablehttrIRangesisobandjsonliteKEGGRESTKernSmoothlabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixmatrixcalcMatrixGenericsmatrixStatsmemoisemgcvmimemnormtnlmeopensslpbapplypkgconfigpngpsychR6RColorBrewerRcpprlangRSQLiteS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystatmodSummarizedExperimentsurvivalsvasystruncdistvctrsviridisviridisLitewithrXMLxtableXVector

A Vignette for DeMixT

Rendered fromDeMixT_tutorial.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-03-26
Started: 2026-03-26

DeMixNB: Deconvolution for Sparse Count Data

Rendered fromDeMixNB_tutorial.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-03-26
Started: 2026-03-26