36-672 Special Topics: Computational Statistical Methods in Life Sciences

9 units, Carnegie Mellon University

The life sciences are rapidly becoming datadriven fields due to technological advancements in genomics, neuroscience, epidemiology, and other areas. Statistical methods are essential for analyzing complex datasets that arise in these disciplines, such as genomic sequences, neuroimaging data, and public health records. This course will introduce statistical techniques for analyzing datadriven life science problems, emphasizing computational aspects from a Bayesian perspective.

Prerequisites: none listed

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