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 DOI: 10.32614/CRAN.package.rhcoclust 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rhcoclust to link to this page.
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