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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.

Versions across snapshots

VersionRepositoryFileSize
1.3.0 rolling linux/jammy R-4.5 FLASHMM_1.3.0.tar.gz 376.7 KiB
1.3.0 rolling linux/noble R-4.5 FLASHMM_1.3.0.tar.gz 376.6 KiB
1.3.0 rolling source/ R- FLASHMM_1.3.0.tar.gz 344.3 KiB
1.3.0 latest linux/jammy R-4.5 FLASHMM_1.3.0.tar.gz 376.7 KiB
1.3.0 latest linux/noble R-4.5 FLASHMM_1.3.0.tar.gz 376.6 KiB
1.3.0 latest source/ R- FLASHMM_1.3.0.tar.gz 344.3 KiB
1.3.0 2026-04-26 source/ R- FLASHMM_1.3.0.tar.gz 344.3 KiB
1.3.0 2026-04-23 source/ R- FLASHMM_1.3.0.tar.gz 344.3 KiB
1.3.0 2026-04-09 windows/windows R-4.5 FLASHMM_1.3.0.zip 380.1 KiB
1.2.1 2025-04-20 source/ R- FLASHMM_1.2.1.tar.gz 56.2 KiB

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