Package: SMDIC 0.1.6

SMDIC: Identification of Somatic Mutation-Driven Immune Cells

A computing tool is developed to automated identify somatic mutation-driven immune cells. The operation modes including: i) inferring the relative abundance matrix of tumor-infiltrating immune cells and integrating it with a particular gene mutation status, ii) detecting differential immune cells with respect to the gene mutation status and converting the abundance matrix of significant differential immune cell into two binary matrices (one for up-regulated and one for down-regulated), iii) identifying somatic mutation-driven immune cells by comparing the gene mutation status with each immune cell in the binary matrices across all samples, and iv) visualization of immune cell abundance of samples in different mutation status..

Authors:Junwei Han [cre], Baotong Zheng [aut]

SMDIC_0.1.6.tar.gz
SMDIC_0.1.6.zip(r-4.7)SMDIC_0.1.6.zip(r-4.6)SMDIC_0.1.6.zip(r-4.5)
SMDIC_0.1.6.tgz(r-4.6-any)SMDIC_0.1.6.tgz(r-4.5-any)
SMDIC_0.1.6.tar.gz(r-4.7-any)SMDIC_0.1.6.tar.gz(r-4.6-any)
SMDIC_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SMDIC/json (API)

# Install 'SMDIC' in R:
install.packages('SMDIC', repos = c('https://hanjunwei-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hanjunwei-lab/smdic/issues

Datasets:

On CRAN:

Conda:

4.00 score 2 stars 5 scripts 236 downloads 1 mentions 10 exports 191 dependencies

Last updated from:70ba7d1dc7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK399
source / vignettesOK318
linux-release-x86_64OK404
macos-release-arm64OK272
macos-oldrel-arm64OK234
windows-develOK350
windows-releaseOK340
windows-oldrelOK351
wasm-releaseOK202

Exports:exp2cellgene2cellsummaryGetExampleDataheatmapcellmaf2matrixmutcellsummarymutcorcellplotCoocMutexplotwaterfallsurvcell

Dependencies:abindannotateAnnotationDbiaskpassassortheadbackportsbase64encbeachmatBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelBiocSingularBiostringsbitbit64blobbootbroombslibcachemcarcarDataclassclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDelayedArrayDelayedMatrixStatsDerivdigestdir.expiryDNAcopydoBydplyre1071exactRankTestsfarverfastmapfilelockfontawesomeforecastformatRFormulafracdifffsfutile.loggerfutile.optionsgenericsGenomicRangesggplot2ggpubrggrepelggsciggsignifggtextgluegraphgridExtragridtextGSAGSEABaseGSVAgtableh5mreadHDF5Arrayhtmltoolshttpuvhttrhttr2imputeIRangesirlbaisobandjpegjquerylibjsonliteKEGGRESTlabelinglambda.rlaterlatticelifecyclelitedownlme4lmtestmaftoolsmagickmagrittrmarkdownMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmaxstatmemoisememusemgcvmicrobenchmarkmimeminqamodelrmvtnormnlmenloptrnnetnumDerivopensslopenxlsxotelpbkrtestpheatmappillarpkgconfigpngpolynompracmapreprocessCorepromisesproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangRSQLiterstatixrsvdS4ArraysS4VectorsS7samrsassScaledMatrixscalesSeqinfoshinyshinyFilesSingleCellExperimentsnowsourcetoolsSparseArraySparseMsparseMatrixStatsSpatialExperimentstringistringrSummarizedExperimentsurvivalsurvminersystibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunXMLxml2xtableXVectorzipzoo

SMDIC User Guide

Rendered fromSMDIC.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2023-09-04
Started: 2020-05-31