Genomics Data Mining and Statistics

SPH BS 831

The goal of this course is for the students to develop a good understanding and hands-on skills in the design and analysis of 'omics' data from microarray and high-throughput sequencing experiments, including data collection and management, statistical techniques for the identification of genes that have differential expression in different biological conditions, development of prognostic and diagnostic models for molecular classification, and the identification of new disease taxonomies based on their molecular profile. These topics will be taught using real examples, extensively documented hands- on work, class discussion and critical reading. Students will be asked to analyze real gene expression data sets in their homework and final project. Principles of reproducible research will be emphasized, and students will become proficient in the use of the statistical language R (an advanced beginners knowledge of the language is expected of the students entering the class) and associated packages (including Bioconductor), and in the use of R markdown (and/or electronic notebooks) for the redaction of analysis reports.

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A1 Choi EVN EB43 F 2:00 pm-4:50 pm MED Campus
Class Closed

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.