University of Illinois Urbana-Champaign 4 credits Chemical and Biomolecular Engineering
Introduction to statistical methods used in the analysis of genomic data. Methods are organized around data types commonly found in biological experiments, such as genotype data, gene expression levels, histone modifications, and microbiome data. Emphasis on statistical understanding. Practical implementation will be illustrated in R. Same as ANSC 543, MCB 571, and STAT 530. 4 graduate hours. No professional credit. Prerequisite: MATH 461, STAT 410, STAT 420, or equivalent coursework for these three courses and thorough knowledge of R.
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