# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ccfindR" in publications use:' type: software license: GPL-2.0-or-later title: 'ccfindR: Cancer Clone Finder' version: 1.32.0 doi: 10.32614/CRAN.package.ccfindR abstract: 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. authors: - family-names: Woo given-names: Jun email: jwoo@umn.edu - family-names: Wang given-names: Jinhua email: wangjh@umn.edu repository: https://bioc-release.r-universe.dev commit: aaa8bac2df8a0d999b01186a42f1f3c10fc0b0bd url: http://dx.doi.org/10.26508/lsa.201900443 date-released: '2019-10-01' contact: - family-names: Woo given-names: Jun email: jwoo@umn.edu