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shuanggema/IntePanCancer

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Maintainer

Shuaichao Wang wangshuaichao@sjtu.edu.cn

Publication

Wang S, Wu M, Ma S (2019). Integrative analysis of cancer omics data for prognosis modeling. Manuscript.

Usage

  1. data.RData: gene expression and clinical data of nine cancer types
  2. shrinkage-based functions: functions used in magnitude- and sign-based shrinkage penalties for marginal and joint analysis, respetively
  3. 5-fold-cv: 5 fold cross validation to select the best combination for parameters for marginal and joint analysis, respetively
  4. differences between different models: marginal and joint analysis with selected parameters

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