# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "CaDrA" in publications use:' type: software license: GPL-3.0-only title: 'CaDrA: Candidate Driver Analysis' version: 1.3.0 abstract: Performs both stepwise and backward heuristic search for candidate (epi)genetic drivers based on a binary multi-omics dataset. CaDrA's main objective is to identify features which, together, are significantly skewed or enriched pertaining to a given vector of continuous scores (e.g. sample-specific scores representing a phenotypic readout of interest, such as protein expression, pathway activity, etc.), based on the union occurence (i.e. logical OR) of the events. authors: - family-names: Chau given-names: Reina email: rchau88@bu.edu orcid: https://orcid.org/0000-0003-3012-1404 - family-names: Bulekova given-names: Katia email: ktrn@bu.edu orcid: https://orcid.org/0000-0003-1560-2146 - family-names: Kartha given-names: Vinay email: vkartha@bu.edu - family-names: Monti given-names: Stefano email: smonti@bu.edu orcid: https://orcid.org/0000-0002-9376-0660 repository: https://bioc.r-universe.dev repository-code: https://github.com/montilab/CaDrA url: https://github.com/montilab/CaDrA/ date-released: '2022-11-20' contact: - family-names: Chau given-names: Reina email: rchau88@bu.edu orcid: https://orcid.org/0000-0003-3012-1404