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.

Version: 1.0-2
Depends: R (≥ 2.10)
Published: 2022-06-23
Author: Tianqing Liu, Nan Lin, Ningzhong Shi and Baoxue Zhang
Maintainer: Tianqing Liu <tianqingliu at gmail.com>
License: GPL-2
NeedsCompilation: no
In views: Cluster, Omics
CRAN checks: ORIClust results

Documentation:

Reference manual: ORIClust.pdf

Downloads:

Package source: ORIClust_1.0-2.tar.gz
Windows binaries: r-devel: ORIClust_1.0-2.zip, r-release: ORIClust_1.0-2.zip, r-oldrel: ORIClust_1.0-2.zip
macOS binaries: r-release (arm64): ORIClust_1.0-2.tgz, r-oldrel (arm64): ORIClust_1.0-2.tgz, r-release (x86_64): ORIClust_1.0-2.tgz
Old sources: ORIClust archive

Reverse dependencies:

Reverse imports: clustDRM

Linking:

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