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A new machine learning method for cancer mutation analysis.

Descripotion: This repository contains the data and MATLAB code for the "A new machine learning method for cancer mutation analysis",a machine learning method to study the functionality of mutually exclusive genes in the networks derived from mutation associations, gene-gene interactions, and graph clustering.

Data sets:

File "Disease_Cases.mat" is the MATLAB .mat file contains the list of 15 diseases which are analyzed and the list of their cases.

File "Genes_Cases.mat" is the MATLAB .mat file contains the list of 573 mutated cancer genes which are analyzed and the list of their cases.

To find feature matrix for each new list of mutated cancer genes and run machine learning algorithms follow the "Read_me.txt" steps.

Link of paper:

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010332

Contact:

Please do not hesitate to contact me if you have any question.

Email: Mahnaz.Habibi@iau.ac.ir

Please cite us if you find this study helpful.

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