PHST 751

High-throughout Data Analysis

The array of high speed, high dimension and highly automated biotechnical equipment including next generation DNA sequencers (NGS), microarray, and metabolomics and proteomic analyzers (mass spectrometers) are all designed to capture and process vast amounts of biological data. All these data generation platforms require customized statistical analyses dealing with high dimensional data. In this course we will introduce the statistical methodologies needed to analyze the data generated by these high-throughput technologies. Covered statistical topics include modern methods for classification, dimension reduction/variable selection methods, and clustering. The course will also cover practical aspects of high-throughput data analysis including microarray data, NGS data, and proteomic mass-spectrometer data

Units: 3.0