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iClusterVB  

Fast Integrative Clustering and Feature Selection for High Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iClusterVB", "0.1.4")



Attach the package and use:
library("iClusterVB")
Maintained by
Abdalkarim Alnajjar
[Scholar Profile | Author Map]
First Published: 2024-07-30
Latest Update: 2024-07-30
Description:
A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
How to cite:
Abdalkarim Alnajjar (2024). iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data. R package version 0.1.4, https://cran.r-project.org/web/packages/iClusterVB. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.1 (2024-07-30 21:20), 0.1.2 (2024-08-20 21:10), 0.1.3 (2024-12-04 09:20)
Other packages that cited iClusterVB R package
View iClusterVB citation profile
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Complete documentation for iClusterVB
Functions, R codes and Examples using the iClusterVB R package
Full iClusterVB package functions and examples
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