Package: SparseMDC 0.99.5

Jun Li

SparseMDC: Implementation of SparseMDC Algorithm

Implements the algorithm described in Barron, M., and Li, J. (Not yet published). This algorithm clusters samples from multiple ordered populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseMDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.

Authors:Martin Barron [aut], Jun Li [aut, cre]

SparseMDC_0.99.5.tar.gz
SparseMDC_0.99.5.tar.gz(r-4.5-noble)SparseMDC_0.99.5.tar.gz(r-4.4-noble)
SparseMDC_0.99.5.tgz(r-4.4-emscripten)SparseMDC_0.99.5.tgz(r-4.3-emscripten)
SparseMDC.pdf |SparseMDC.html
SparseMDC/json (API)

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

Peer review:

Datasets:

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

2.00 score 7 scripts 118 downloads 13 exports 7 dependencies

Last updated 6 years agofrom:d7f74c8548. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxNOTEDec 04 2024

Exports:lambda1_calculatorlambda2_calculatormu_calcmu_solverpen_calculatorpre_proc_dataS_funcscore_calcsdc_mparsparse_mdcsparsemdc_gapupdate_cupdate_mu

Dependencies:codetoolsdigestdoParalleldoRNGforeachiteratorsrngtools

SparseMDC

Rendered fromsparseMDC.rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2018-08-02
Started: 2018-08-02