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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: | 2.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | fields, grDevices, graphics, igraph, stats |
| Published: | 2023-01-29 |
| 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 |
| CRAN checks: | rhcoclust results |
| Reference manual: | rhcoclust.pdf |
| Package source: | rhcoclust_2.0.0.tar.gz |
| Windows binaries: | r-devel: rhcoclust_2.0.0.zip, r-release: rhcoclust_2.0.0.zip, r-oldrel: rhcoclust_2.0.0.zip |
| macOS binaries: | r-release (arm64): rhcoclust_2.0.0.tgz, r-oldrel (arm64): rhcoclust_2.0.0.tgz, r-release (x86_64): rhcoclust_2.0.0.tgz, r-oldrel (x86_64): rhcoclust_2.0.0.tgz |
| Old sources: | rhcoclust archive |
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