6.047/6.878 Lecture 4 - HMMs 1 (Fall 2020)
Manolis Kellis Manolis Kellis
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 Published On Sep 10, 2020

6.047/6.878/HST.507 Fall 2020 Prof. Manolis Kellis
Computational Biology: Genomes, Networks, Evolution, Health
Machine Learning in Genomics: Dissecting the circuitry of Human Disease
Latest slides and course today: http://compbio.mit.edu/6047
Fall 2020 slides and materials: http://stellar.mit.edu/S/course/6/fa2...

OVERVIEW
00:00 Learning about the world
10:36 Bayesian Inference
23:49 Markov Chains and HMMs
31:15 Example HMM for GC content
42:30 Additional HMM examples
45:30 Scoring: Joint probability P(x,pi)
56:42 Matrix of six algorithms for HMMs
58:28 Viterbi decoding: DP for best path
1:12:04 Forward: Scoring P(x) over all paths
1:19:38 Wrap-up and project guidance

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