CPSM - CPSM: Cancer patient survival model
The CPSM package provides a comprehensive computational
pipeline for predicting the survival probability of cancer
patients. It offers a series of steps including data
processing, splitting data into training and test subsets, and
normalization of data. The package enables the selection of
significant features based on univariate survival analysis and
generates a LASSO prognostic index score. It supports the
development of predictive models for survival probability using
various features and provides visualization tools to draw
survival curves based on predicted survival probabilities.
Additionally, SPM includes functionalities for generating bar
plots that depict the predicted mean and median survival times
of patients, making it a versatile tool for survival analysis
in cancer research.