Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT CompBio Lecture 04 - HMMs Hidden Markov Models I (Fall'19)
Posted
September 17, 2019
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5,802
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September 17, 2019
5,802
68
2
1.21%
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1:17:19Now PlayingThe Fall 2019 version of the course is here
The Fall 2019 version of lecture 4 is here
MIT Computational Biology: Genomes, Networks, Evolution, Health
Prof. Manolis Kellis
Full playlist with all videos in order is here
All slides from Fall 2019 are here
Outline for this lecture:
1. HMM basics, evaluation, parsing, posterior decoding
2. Markov Chains and Hidden Markov Models
3. Calculating likelihoods P(x,π)
4. Viterbi algorithm: Find π* = argmaxπ P(x,π)
5. Forward algorithm: Find P(x), over all paths
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