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- APMA 1080: Statistical Inference
in Genomics and Molecular Biology
Instructor: Charles Lawrence
Tuesday, Thursday 9:00–10:20 a.m. (H Hour)
Effective 2009: Tuesday, Thursday 10:30–11:50 a.m. (I Hour)
Traditional and Bayesian statistical inferences on biopolymer data including:
sequence alignment; structure prediction; regulatory signals; significances of
searches; phylogeny; and functional genomics. Emphasis is on discrete high dimensional
objects common in field. Statistical topics: parameter estimation; hypothesis
testing and false discovery rates; statistical decision theory; and Bayesian
posterior inference.
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