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-4.7-any)lncDIFF_1.0.0.zip(r-4.6-any)lncDIFF_1.0.0.zip(r-4.5-any)
lncDIFF_1.0.0.tgz(r-4.6-any)lncDIFF_1.0.0.tgz(r-4.5-any)
lncDIFF_1.0.0.tar.gz(r-4.7-any)lncDIFF_1.0.0.tar.gz(r-4.6-any)
lncDIFF_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lncDIFF/json (API)
| # 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 from:e3e9009c95. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 88 | ||
| source / vignettes | OK | 117 | ||
| linux-release | OK | 92 | ||
| macos-release | OK | 166 | ||
| macos-oldrel | OK | 150 | ||
| windows-devel | OK | 42 | ||
| windows-release | OK | 51 | ||
| windows-oldrel | OK | 52 | ||
| wasm-release | OK | 77 |
Dependencies:
