Package: ROSeq 1.19.0
ROSeq: Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.
Authors:
ROSeq_1.19.0.tar.gz
ROSeq_1.19.0.zip(r-4.5)ROSeq_1.19.0.zip(r-4.4)ROSeq_1.19.0.zip(r-4.3)
ROSeq_1.19.0.tgz(r-4.4-any)ROSeq_1.19.0.tgz(r-4.3-any)
ROSeq_1.19.0.tar.gz(r-4.5-noble)ROSeq_1.19.0.tar.gz(r-4.4-noble)
ROSeq_1.19.0.tgz(r-4.4-emscripten)ROSeq_1.19.0.tgz(r-4.3-emscripten)
ROSeq.pdf |ROSeq.html✨
ROSeq/json (API)
NEWS
# Install 'ROSeq' in R: |
install.packages('ROSeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/krishan57gupta/roseq/issues
- L_Tung_single - Single cell samples for DE genes analysis
On BioConductor:ROSeq-1.19.0(bioc 3.21)ROSeq-1.18.0(bioc 3.20)
geneexpressiondifferentialexpressionsinglecellcount-datagene-expressiongene-expression-profilesnormalizationpopulationsranktmmtungtung-datasettutorialvignette
Last updated 23 days agofrom:f033b59032. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | WARNING | Nov 04 2024 |
R-4.5-linux | WARNING | Nov 04 2024 |
R-4.4-win | WARNING | Nov 04 2024 |
R-4.4-mac | WARNING | Nov 04 2024 |
R-4.3-win | WARNING | Nov 04 2024 |
R-4.3-mac | WARNING | Nov 04 2024 |
Exports:ROSeqTMMnormalization