# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ROKET" in publications use:' type: software license: GPL-3.0-or-later title: 'ROKET: Optimal Transport-Based Kernel Regression' version: 1.0.0 doi: 10.1111/biom.13769 identifiers: - type: doi value: 10.32614/CRAN.package.ROKET abstract: Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) ). The software implements balanced and unbalanced optimal transport and omnibus tests with 'C++' across a set of tumor samples and allows for multi-threading to decrease computational runtime. authors: - family-names: Little given-names: Paul email: pllittle321@gmail.com preferred-citation: type: article title: Associating somatic mutation with clinical outcomes through kernel regression and optimal transport authors: - family-names: Little given-names: Paul email: pllittle321@gmail.com orcid: https://orcid.org/0000-0002-9789-8501 - family-names: Hsu given-names: Li email: lih@fredhutch.org orcid: https://orcid.org/0000-0001-8168-4712 - family-names: Sun given-names: Wei email: wsun@fredhutch.org orcid: https://orcid.org/0000-0002-6350-1107 journal: Biometrics year: '2023' volume: '79' issue: '3' doi: 10.1111/biom.13769 start: '2705' end: '2718' repository: https://CRAN.R-project.org/package=ROKET date-released: '2025-03-04' contact: - family-names: Little given-names: Paul email: pllittle321@gmail.com