<p>(Same as Bioinformatics M223 and Statistics M254.) Lecture, three hours; discussion, one hour. Preparation: elementary probability concepts. Requisite: Bioinformatics M221 or Statistics 100A or 200A. Introduction to statistical methods developed and widely applied in several branches of computational biology, such as gene expression, sequence alignment, motif discovery, comparative genomics, and biological networks, with emphasis on understanding of basic statistical concepts and use of statistical inference to solve biological problems. Letter grading.</p>

Biomathematics

The school is a groundbreaking community of problem solvers, caregivers, innovators, and life-long learners with a noble mission: to heal humankind by delivering leading-edge research, education, patient care, and community engagement.

David Geffen School of Medicine

The department's primary goal is to build and implement the mathematical models that are crucial for the advancement of modern biomedical sciences.

General Catalog

Statistical Methods in Computational Biology

BIOMATHM271

4 units