Understanding Cancer using Machine Learning

As demonstrated by many researchers [1, 2], the use of Machine Learning (ML) in Medicine is nowadays becoming more and more important. Researchers are now using ML in applications such as EEG analysis and Cancer Detection/Analysis. For example, by examining biological data such as DNA methylation and RNA sequencing can then be possible to infer which genes can cause cancer and which genes can instead be able to suppress its expression. In this post, I will walk you through how I examined 9 different datasets about TCGA Liver, Cervical and Colon Cancer. All the datasets have been provided by the UCSC Xena (University of California, Santa Cruz website).