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ccfindR

Cancer Clone Finder

Bioconductor version: 3.23 · Package version: 1.32.0

A collection of tools for cancer genomic data clustering analyses, including those for single cell RNA-seq. Cell clustering and feature gene selection analysis employ Bayesian (and maximum likelihood) non-negative matrix factorization (NMF) algorithm. Input data set consists of RNA count matrix, gene, and cell bar code annotations. Analysis outputs are factor matrices for multiple ranks and marginal likelihood values for each rank. The package includes utilities for downstream analyses, including meta-gene identification, visualization, and construction of rank-based trees for clusters.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ccfindR")

Details

MaintainerJun Woo <jwoo@umn.edu>
AuthorJun Woo [aut, cre], Jinhua Wang [aut]
LicenseGPL (>= 2)
URLhttp://dx.doi.org/10.26508/lsa.201900443
Downloads rank286
Source branchRELEASE_3_23
biocViewsBayesian, Clustering, ImmunoOncology, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: stats, S4Vectors, utils, methods, Matrix, SummarizedExperiment, SingleCellExperiment, Rtsne, graphics, grDevices, gtools, RColorBrewer, ape, Rmpi, irlba, Rcpp, Rdpack (>= 0.7)

LinkingTo: Rcpp, RcppEigen

Suggests: BiocStyle, knitr, rmarkdown

Reverse dependencies

Suggests Me (1): MutationalPatterns