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iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data
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.
Getting started
Browse package contents
Package details |
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| Author | Abdalkarim Alnajjar [aut, cre, cph] (<https://orcid.org/0009-0008-4439-1214>), Zihang Lu [aut] |
| Maintainer | Abdalkarim Alnajjar <abdalkarim.alnajjar@queensu.ca> |
| License | MIT + file LICENSE |
| Version | 0.1.4 |
| URL | https://github.com/AbdalkarimA/iClusterVB |
| Package repository | View on CRAN |
| Installation |
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