Package: rhcoclust 2.0.0

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>.

Authors:Md. Bahadur Badsha [aut, cre], Mohammad Nazmol Hasan [aut], Md. Nurul Haque Mollah [aut]

rhcoclust_2.0.0.tar.gz
rhcoclust_2.0.0.zip(r-4.7)rhcoclust_2.0.0.zip(r-4.6)rhcoclust_2.0.0.zip(r-4.5)
rhcoclust_2.0.0.tgz(r-4.6-any)rhcoclust_2.0.0.tgz(r-4.5-any)
rhcoclust_2.0.0.tar.gz(r-4.7-any)rhcoclust_2.0.0.tar.gz(r-4.6-any)
rhcoclust_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
rhcoclust/json (API)

# Install 'rhcoclust' in R:
install.packages('rhcoclust', repos = c('https://mdbahadur.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdbahadur/rhcoclust/issues

Datasets:
  • FCGE_Data_GMP - A real glutathione metabolism pathway (GMP) dataset for 'rhcoclust' package
  • FCGE_Data_PPARs - A real PPAR signaling pathways (PPAR-SP) dataset for 'rhcoclust' package
  • simu_data - A predefined simulated data for 'rhcoclust' package

On CRAN:

Conda:

2.70 score 9 scripts 178 downloads 1 mentions 6 exports 18 dependencies

Last updated from:00af4fccb9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK180
source / vignettesOK165
linux-release-x86_64OK127
macos-release-arm64OK171
macos-oldrel-arm64OK281
windows-develOK79
windows-releaseOK71
windows-oldrelOK103
wasm-releaseOK105

Exports:plot_rhcoclustreversestringrhcoclustrhcoclust_internetrhcoclust_networksimulate_data

Dependencies:clicpp11dotCall64fieldsglueigraphlatticelifecyclemagrittrmapsMatrixpkgconfigRColorBrewerRcpprlangspamvctrsviridisLite