Lecture 10: Markov and Hidden Markov Models of Genomic and Protein Features

Name: Lecture 10: Markov and Hidden Markov Models of Genomic and Protein Features
Uploaded: 2015-01-20T16:18:36Z
Duration: 1 h 18 min 26 s
Description: Description: Prof. Christopher Burge begins by reviewing Lecture 9, then begins his lecture on hidden Markov models (HMM) of genomic and protein features. He addresses the terminology and applications of HMMs, the Viterbi algorithm, and then gives a few examples. Instructor: Prof. Christopher Burge

1:18:26

Description: Prof. Christopher Burge begins by reviewing Lecture 9, then begins his lecture on hidden Markov models (HMM) of genomic and protein features. He addresses the terminology and applications of HMMs, the Viterbi algorithm, and then gives a few examples.

Instructor: Prof. Christopher Burge