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rhcoclust (version 2.0.0)

Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster

Description

Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in absence and presence of outlying observations. It can be used to explore important co-clusters consisting of important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) .

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Version

Install

install.packages('rhcoclust')

Monthly Downloads

197

Version

2.0.0

License

GPL (>= 2)

Maintainer

Md Badsha

Last Published

January 29th, 2023

Functions in rhcoclust (2.0.0)

FCGE_Data_GMP

A real glutathione metabolism pathway (GMP) dataset for 'rhcoclust' package
rhcoclust_internet

Interaction network (internet) of the 'rhcoclust' objects
FCGE_Data_PPARs

A real PPAR signaling pathways (PPAR-SP) dataset for 'rhcoclust' package
reversestring

Reverse given string
rhcoclust

The function for co-clustering sample and feature to explore significant samples and their regulatory features
simulate_data

Simulate data for robust hirarachical clustering to identify significant co-cluster
rhcoclust_network

Visualization of clustering network plot
plot_rhcoclust

Plot of the 'rhcoclust' objects
simu_data

A predefined simulated data for 'rhcoclust' package