Package: FLASHMM 1.0.0

Changjiang Xu

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.

Authors:Changjiang Xu [aut, cre], Gary Bader [aut]

FLASHMM_1.0.0.tar.gz
FLASHMM_1.0.0.tar.gz(r-4.5-noble)FLASHMM_1.0.0.tar.gz(r-4.4-noble)
FLASHMM_1.0.0.tgz(r-4.4-emscripten)FLASHMM_1.0.0.tgz(r-4.3-emscripten)
FLASHMM.pdf |FLASHMM.html✨
FLASHMM/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/baderlab/flashmm/issues

2.70 score 3 scripts 5 exports 3 dependencies

Last updated 4 hours agofrom:68f1c610bc. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 14 2025
R-4.5-linuxOKJan 14 2025

Exports:lmmlmmfitlmmtestsimuRNAseqsslmm

Dependencies:latticeMASSMatrix

Single-cell differential expression analysis with FLASHMM

Changjiang Xu, Delaram Pouyabahar, Veronique Voisin, and Gary D. Bader

Rendered fromFLASHMM-vignette.Rmdusingknitr::rmarkdownon Jan 14 2025.

Last update: 2025-01-14
Started: 2025-01-14