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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.
Getting started
Browse package contents
Package details |
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| Author | Changjiang Xu [aut, cre], Delaram Pouyabahar [ctb], Veronique Voisin [ctb], Gary Bader [ctb] |
| Maintainer | Changjiang Xu <changjiang.xu@utoronto.ca> |
| License | MIT + file LICENSE |
| Version | 1.3.0 |
| URL | https://github.com/BaderLab/FLASHMM |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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