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:Tianqing Liu, Nan Lin, Ningzhong Shi and Baoxue Zhang

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'))

Peer review:

Datasets:
  • 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.

1.00 score 2 scripts 247 downloads 12 exports 0 dependencies

Last updated 2 years agofrom:bd364f0317. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:complete.profilecyclical.max.mincyclical.min.maxdecreasingdown.upflat.patternincreasingisodecreisoincreORICC1ORICC2up.down

Dependencies: