# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "CPSM" in publications use:' type: software license: GPL-3.0-only title: 'CPSM: CPSM: Cancer patient survival model' version: 1.4.0 doi: 10.1101/2024.11.14.623597 identifiers: - type: doi value: 10.32614/CRAN.package.CPSM abstract: CPSM provides a comprehensive computational pipeline for predicting survival probability and risk groups in cancer patients. The package includes steps for data preprocessing, training/test split, and normalization. It enables feature selection using univariate survival analysis and computes a LASSO-based prognostic index (PI) score. CPSM supports the development of predictive models using various feature sets and offers a suite of visualization tools, including survival curves based on predicted probabilities, barplots for predicted mean and median survival times, KM plots overlaid with individual survival predictions, and nomograms for estimating 1-, 3-, 5-, and 10-year survival probabilities. This makes CPSM a versatile tool for survival analysis in cancer research. authors: - family-names: Kaur given-names: Harpreet email: hks04180@gmail.com orcid: https://orcid.org/0000-0003-0421-8341 - family-names: Das given-names: Pijush email: topijush@gmail.com - family-names: Camphausen given-names: Kevin email: camphauk@mail.nih.gov - family-names: Shankavaram given-names: Uma email: uma@mail.nih.gov preferred-citation: type: article title: 'CPSM: R-package of an Automated Machine Learning Pipeline for Predicting the Survival Probability of Single Cancer Patients' authors: - family-names: Kaur given-names: Harpreet email: hks04180@gmail.com orcid: https://orcid.org/0000-0003-0421-8341 - family-names: Das given-names: Pijush email: topijush@gmail.com - family-names: Camphausen given-names: Kevin email: camphauk@mail.nih.gov - family-names: Shankavaram given-names: Uma email: uma@mail.nih.gov journal: bioRxiv year: '2024' doi: 10.1101/2024.11.14.623597 url: https://doi.org/10.1101/2024.11.14.623597 repository: https://bioc-release.r-universe.dev repository-code: https://github.com/hks5august/CPSM commit: ec740c5547526959826ac67f9ca30c438ac819cd url: https://github.com/hks5august/CPSM/ date-released: '2026-04-28' contact: - family-names: Kaur given-names: Harpreet email: hks04180@gmail.com orcid: https://orcid.org/0000-0003-0421-8341