Package: scPAS 1.0.4
scPAS: Single-Cell Phenotype-Associated Subpopulation Identifier
Identifies phenotype-associated cell subpopulations from single-cell RNA-seq data by integrating bulk RNA-seq data with phenotype information. This package uses network-regularized sparse regression to quantify the strength of association between each cell and a phenotype (e.g., disease stage, tumor metastasis, treatment response, survival outcomes). Compatible with both Seurat v4 (4.0.0+) and Seurat v5 (5.0.0+). The method supports Gaussian (continuous), binomial (binary), and Cox (survival) regression families. Full cross-platform compatibility (Windows, macOS, Linux).
Authors:
scPAS_1.0.4.tar.gz
scPAS_1.0.4.zip(r-4.7)scPAS_1.0.4.zip(r-4.6)scPAS_1.0.4.zip(r-4.5)
scPAS_1.0.4.tgz(r-4.6-x86_64)scPAS_1.0.4.tgz(r-4.6-arm64)scPAS_1.0.4.tgz(r-4.5-x86_64)scPAS_1.0.4.tgz(r-4.5-arm64)
scPAS_1.0.4.tar.gz(r-4.7-arm64)scPAS_1.0.4.tar.gz(r-4.7-x86_64)scPAS_1.0.4.tar.gz(r-4.6-arm64)scPAS_1.0.4.tar.gz(r-4.6-x86_64)
scPAS_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
scPAS/json (API)
| # Install 'scPAS' in R: |
| install.packages('scPAS', repos = c('https://zaoqu-liu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zaoqu-liu/scpas/issues
Last updated from:8f4f190d3e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 264 | ||
| linux-devel-x86_64 | OK | 344 | ||
| source / vignettes | OK | 390 | ||
| linux-release-arm64 | OK | 259 | ||
| linux-release-x86_64 | OK | 342 | ||
| macos-release-arm64 | OK | 270 | ||
| macos-release-x86_64 | OK | 432 | ||
| macos-oldrel-arm64 | OK | 252 | ||
| macos-oldrel-x86_64 | OK | 434 | ||
| windows-devel | OK | 240 | ||
| windows-release | OK | 221 | ||
| windows-oldrel | OK | 229 | ||
| wasm-release | OK | 204 |
Exports:imputationimputation_ALRAimputation_KNNrun_SeuratscPASscPAS.predictionsparse.cor
Dependencies:abindaskpassbase64encBHbitopsbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tabledeldirdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomefsfuturefuture.applygenericsggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixmatrixStatsmemoisemimeminiUInlmeopensslotelparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclippreprocessCoreprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRtsneS7sassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviridisLitewithrxfunxtableyamlzoo
Last update: 2026-01-23
Started: 2026-01-23
Last update: 2026-01-23
Started: 2026-01-23
Last update: 2026-01-23
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Last update: 2026-01-23
Started: 2026-01-23
Last update: 2026-01-23
Started: 2026-01-23
Last update: 2026-01-23
Started: 2026-01-23
