Package: iClusterPlus 1.43.1

Qianxing Mo

iClusterPlus: Integrative clustering of multi-type genomic data

Integrative clustering of multiple genomic data using a joint latent variable model.

Authors:Qianxing Mo, Ronglai Shen

iClusterPlus_1.43.1.tar.gz
iClusterPlus_1.43.1.zip(r-4.5)iClusterPlus_1.43.1.zip(r-4.4)iClusterPlus_1.43.1.zip(r-4.3)
iClusterPlus_1.43.1.tgz(r-4.4-x86_64)iClusterPlus_1.43.1.tgz(r-4.4-arm64)iClusterPlus_1.43.1.tgz(r-4.3-x86_64)iClusterPlus_1.43.1.tgz(r-4.3-arm64)
iClusterPlus_1.43.1.tar.gz(r-4.5-noble)iClusterPlus_1.43.1.tar.gz(r-4.4-noble)
iClusterPlus_1.43.1.tgz(r-4.4-emscripten)iClusterPlus_1.43.1.tgz(r-4.3-emscripten)
iClusterPlus.pdf |iClusterPlus.html
iClusterPlus/json (API)
NEWS

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On BioConductor:iClusterPlus-1.43.1(bioc 3.21)iClusterPlus-1.42.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

multi-omicsclusteringfortranopenblas

5.76 score 190 scripts 878 downloads 32 mentions 16 exports 0 dependencies

Last updated 2 months agofrom:7a3601fca5. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 22 2025
R-4.5-win-x86_64NOTEJan 22 2025
R-4.5-linux-x86_64NOTEJan 22 2025
R-4.4-win-x86_64NOTEJan 22 2025
R-4.4-mac-x86_64NOTEJan 22 2025
R-4.4-mac-aarch64NOTEJan 22 2025
R-4.3-win-x86_64NOTEJan 22 2025
R-4.3-mac-x86_64NOTEJan 22 2025
R-4.3-mac-aarch64NOTEJan 22 2025

Exports:CNregionscompute.podgetBICgetClustersgetDevRiClusteriCluster2iClusterBayesiClusterPlusiManualplotHeatmapplotHMBayesplotiClustertune.iCluster2tune.iClusterBayestune.iClusterPlus

Dependencies:

iClusterPlus

Rendered fromiClusterPlus.Rnwusingutils::Sweaveon Jan 22 2025.

Last update: 2018-10-11
Started: 2014-01-27