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:

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

Last updated 9 years agofrom:4cce2d28e7. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 04 2024
R-4.5-linux	OK	Dec 04 2024

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