Package: ORCME 2.0.2

Rudradev Sengupta

ORCME: Order Restricted Clustering for Microarray Experiments

Provides clustering of genes with similar dose response (or time course) profiles. It implements the method described by Lin et al. (2012).

Authors:Adetayo Kasim, Martin Otava, Tobias Verbeke

# Install 'ORCME' in R:

install.packages('ORCME', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:4cce2d28e7. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	85
source / vignettes	OK	201
linux-release	OK	90
windows-devel	OK	55
windows-release	OK	59
wasm-release	OK	85

Dependencies:Iso

Help page	Topics
Dose Data Example	doseData
Gene Expression Data Example	geneData
The monotone means under increasing/decreasing trend	monotoneDirection
Order restricted clustering for dose-response trends in microarray experiments	ORCME
Plotting the gene specific profiles for one given cluster of genes	plotCluster
Plot of the observed gene expression and the isotonic means with respect to dose	plotIsomeans
Plot the variaty of the properties dependent on the proportion of heterogeneity in observed data set	plotLambda
Estimation of the proportion of the heterogeneity in the observed data for clustering	resampleORCME