Package: lncDIFF 1.0.0
lncDIFF: Long Non-Coding RNA Differential Expression Analysis
We developed an approach to detect differential expression features in long non-coding RNA low counts, using generalized linear model with zero-inflated exponential quasi likelihood ratio test. Methods implemented in this package are described in Li (2019) <doi:10.1186/s12864-019-5926-4>.
Authors:
lncDIFF_1.0.0.tar.gz
lncDIFF_1.0.0.zip(r-4.5)lncDIFF_1.0.0.zip(r-4.4)lncDIFF_1.0.0.zip(r-4.3)
lncDIFF_1.0.0.tgz(r-4.5-any)lncDIFF_1.0.0.tgz(r-4.4-any)lncDIFF_1.0.0.tgz(r-4.3-any)
lncDIFF_1.0.0.tar.gz(r-4.5-noble)lncDIFF_1.0.0.tar.gz(r-4.4-noble)
lncDIFF_1.0.0.tgz(r-4.4-emscripten)lncDIFF_1.0.0.tgz(r-4.3-emscripten)
lncDIFF.pdf |lncDIFF.html✨
lncDIFF/json (API)
NEWS
| # Install 'lncDIFF' in R: |
| install.packages('lncDIFF', repos = c('https://qianli10000.r-universe.dev', 'https://cloud.r-project.org')) |
- cov - Batch information for samples in hnsc.edata.
- design - Design matrix for samples in hnsc.edata.
- hnsc.edata - LncRNA Fragments Per Killobase per Million (FPKM) in a head and neck squamous cell carcinomas (hnsc) study.
- tissue - Tissue type for samples in hnsc.edata.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:e3e9009c95. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 17 2025 |
| R-4.5-win | OK | Feb 17 2025 |
| R-4.5-mac | OK | Feb 17 2025 |
| R-4.5-linux | OK | Feb 17 2025 |
| R-4.4-win | OK | Feb 17 2025 |
| R-4.4-mac | OK | Feb 17 2025 |
| R-4.3-win | OK | Feb 17 2025 |
| R-4.3-mac | OK | Feb 17 2025 |
Dependencies:
