STAT 465

Statistical Methods for Genomic Data

Units: 1.5

Hours: 3-0-0

Introduction to genomic data and statistical methodology for its analysis; examples of data may include single-nucleotide polymorphisms or gene expression levels, generated from microarrays or next-generation sequencing. Statistical techniques may include data preprocessing, filtering, normalization, exploratory methods, visualization, dimension reduction, differential expression, generalized linear models, corrections for multiple comparisons, clustering, gene ontology analyses, genome-wide association studies.


  • May be offered as a joint undergraduate and graduate class.


Undergraduate course in Statistics offered by the Department of Mathematics and Statistics in the Faculty of Science.

Summer 2019 Fall 2019 Spring 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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