Package: ORIClust 1.0-2
Tianqing Liu
ORIClust: Order-Restricted Information Criterion-Based Clustering Algorithm
A user-friendly R-based software package for gene clustering. Clusters are given by genes matched to prespecified profiles across various ordered treatment groups. It is particularly useful for analyzing data obtained from short time-course or dose-response microarray experiments.
Authors:
ORIClust_1.0-2.tar.gz
ORIClust_1.0-2.tar.gz(r-4.5-noble)ORIClust_1.0-2.tar.gz(r-4.4-noble)
ORIClust_1.0-2.tgz(r-4.4-emscripten)ORIClust_1.0-2.tgz(r-4.3-emscripten)
ORIClust.pdf |ORIClust.html✨
ORIClust/json (API)
# Install 'ORIClust' in R: |
install.packages('ORIClust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Breast - Breast cancer cell line data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:bd364f0317. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Exports:complete.profilecyclical.max.mincyclical.min.maxdecreasingdown.upflat.patternincreasingisodecreisoincreORICC1ORICC2up.down
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Order-restricted Information Criterion-based Clustering Algorithm | ORIClust-package |
Breast cancer cell line data | Breast |
complete.profile | complete.profile |
cyclical.max.min | cyclical.max.min |
cyclical.min.max | cyclical.min.max |
decreasing | decreasing |
down.up | down.up |
flat.pattern | flat.pattern |
increasing | increasing |
isodecre | isodecre |
isoincre | isoincre |
One-stage ORICC | ORICC1 |
Two-stage ORICC | ORICC2 |
up.down | up.down |