rhcoclust: Robust Hierarchical Co-Clustering to Identify Significant
Co-Cluster
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>.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
fields, grDevices, graphics, igraph, stats |
| Published: |
2021-02-26 |
| Author: |
Md. Bahadur Badsha [aut, cre],
Mohammad Nazmol Hasan [aut],
Md. Nurul Haque Mollah [aut] |
| Maintainer: |
Md. Bahadur Badsha <mbbadshar at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
rhcoclust results |
Documentation:
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