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rhcoclust  

Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster
View on CRAN: Click here


Download and install rhcoclust package within the R console
Install from CRAN:
install.packages("rhcoclust")

Install from Github:
library("remotes")
install_github("cran/rhcoclust")

Install by package version:
library("remotes")
install_version("rhcoclust", "2.0.0")



Attach the package and use:
library("rhcoclust")
Maintained by
Md. Bahadur Badsha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-08
Latest Update: 2023-01-29
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) <doi:10.1101/2020.05.13.094946>.
How to cite:
Md. Bahadur Badsha (2020). rhcoclust: Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster. R package version 2.0.0, https://cran.r-project.org/web/packages/rhcoclust
Previous versions and publish date:
1.0.0 (2020-12-08 10:20), 1.1.0 (2021-02-26 11:10)
Other packages that cited rhcoclust R package
View rhcoclust citation profile
Other R packages that rhcoclust depends, imports, suggests or enhances
Functions, R codes and Examples using the rhcoclust R package
Some associated functions: FCGE_Data_GMP . FCGE_Data_PPARs . plot_rhcoclust . reversestring . rhcoclust . rhcoclust_internet . rhcoclust_network . simu_data . simulate_data . 
Some associated R codes: plot_rhcoclust.R . reversestring.R . rhcoclust.R . rhcoclust_internet.R . rhcoclust_network.R . simulate_data.R .  Full rhcoclust package functions and examples
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