ST-Biomed&HealthDataAnalysis
In this course, we will apply several novel machine learning algorithms, including normalization methods, classification and regression analysis on cancer patient data sets to arrive at personalized cancer treatments. We will develop several supervised learning algorithms for analyzing gene expression data sets. We will review, develop, and evaluate deconvolution methods as applied to gene expression data of primary tumors to predict the percentage of various cell types in tumors. We will implement most of these methods in Python.