# -------------------------------------------- # 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: 1.25.0 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.r-universe.dev commit: c0ae7f1f8433521a79bb705ad71509e020a2175d 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