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APMA 1080 - Inference in Genomics and Molecuar Biology |
Sequencing of genomes has generated a massive
quantity of fundamental biological data. We focus on drawing traditional and Bayesian statistical inferences from these data, including: alignment
of biopolymer sequences; prediction of their structures, regulatory
signals; significances in database searches; and functional genomics. Emphasis is on
inferences in the discrete high dimensional spaces. Statistical topics: Bayesian inference, estimation, hypothesis testing and false discovery rates, statistical decision theory. Prerequisite: APMA 1650 or MATH 1610; BIOL 0200 recommended; Matlab or programming experience.
Enrollment limited to 20.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours 0.000 Lab hours Levels: Graduate, Undergraduate Schedule Types: Common Meeting, Primary Meeting Applied Mathematics Department Prerequisites: Undergraduate level APMA 1650 Minimum Grade of S or Undergraduate level MATH 1610 Minimum Grade of S |
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