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CRAN: Package FLASHMM

FLASHMM: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models

A fast and scalable linear mixed-effects model (LMM) estimation algorithm for analysis of single-cell differential expression. The algorithm uses summary-level statistics and requires less computer memory to fit the LMM.

Version: 1.2.1 Imports: stats, MASS, Matrix Suggests: knitr, rmarkdown, devtools Published: 2025-04-09 DOI: 10.32614/CRAN.package.FLASHMM Author: Changjiang Xu [aut, cre], Gary Bader [aut] Maintainer: Changjiang Xu <changjiang.xu at utoronto.ca> BugReports: https://github.com/BaderLab/FLASHMM/issues License: MIT + file LICENSE URL: https://github.com/BaderLab/FLASHMM NeedsCompilation: no Materials: README NEWS CRAN checks: FLASHMM results Documentation: Reference manual: FLASHMM.pdf Vignettes: Single-cell differential expression analysis with FLASHMM (source, R code)
Downloads: Package source: FLASHMM_1.2.1.tar.gz Windows binaries: r-devel: FLASHMM_1.2.1.zip, r-release: FLASHMM_1.2.1.zip, r-oldrel: FLASHMM_1.2.1.zip macOS binaries: r-release (arm64): FLASHMM_1.2.1.tgz, r-oldrel (arm64): FLASHMM_1.2.1.tgz, r-release (x86_64): FLASHMM_1.2.1.tgz, r-oldrel (x86_64): FLASHMM_1.2.1.tgz Old sources: FLASHMM archive Linking:

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