Package: MMOC 0.1.1.0

MMOC: Multi-Omic Spectral Clustering using the Flag Manifold

Multi-omic (or any multi-view) spectral clustering methods often assume the same number of clusters across all datasets. We supply methods for multi-omic spectral clustering when the number of distinct clusters differs among the omics profiles (views).

Authors:Charlie Carpenter [aut, cre]

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MMOC.pdf |MMOC.html
MMOC/json (API)

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

Peer review:

On CRAN:

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

2.70 score 4 scripts 125 downloads 6 exports 40 dependencies

Last updated 1 years agofrom:561deebd2e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:clustStructflagMeankernelLaplacianLaplacianLapproxtrueGroups

Dependencies:cliClusterRcolorspacecpp11diptestfansifarverggplot2gluegmpgtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangscalesSpectrumtibbleutf8vctrsviridisLitewithr

MMOC_vignette

Rendered fromMMOC_vignettes.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-08-10
Started: 2023-08-10