Published May 9, 2018 | Version v1

Tools for prediction of tumor heterogeneity by a machine learning approach

  • 1. Samsung Advanced Institute for Health Sciences & Technology, , Sungkyunkwan University
  • 2. Samsung Genome Institute

Description

The package includes R codes and datasets. We applied three classification algorithms: Support Vector Machine, Random Forest, and Naïve Bayes. Datasets include tab-delimited files of mutation and gene expression profile for stomach cancer. 

Files

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