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CPSM: Cancer patient survival model - Workflow
Introduction
CPSM is an R package that provides a comprehensive computational pipeline for predicting survival probabilities and risk groups in cancer patients. It includes dedicated modules to perform key steps such as data preprocessing, training/test splitting, and normalization. CPSM enables feature selection through univariate cox-regression survival analysis, feature selection though LASSO method, and calculates a LASSO-based Prognostic ...
Type: R Markdown document
Creators: Harpreet Kaur, Pijush Das, Kevin Camphausen, Uma Shankavaram
Submitter: Harpreet Kaur