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Gene Selection Based On an Improved Iterative Feature Elimination Random Survival Forest
2015
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
The survival prediction has become important for patient cancer treatment plan. Previous studies have shown that there is a relation between patient gene expression profile and the survival information. Due to the advancement in microarray technology, high dimensional expressions have been generated. These high dimension microarray data contain many uninformative genes. One of the solutions is to apply a gene selection method to select a small subset of informative genes. A Random Survival
doi:10.5687/sss.2015.124
fatcat:v5wlwcek5fextlkammrtwucwpy