MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014
View the complete course: http://ocw.mit.edu/7-91JS14
Instructor: Christopher Burge
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.
License: Creative Commons BY-NC-SA
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Tagged under: Markov model,hidden Markov model,HMM,relative entropy,Viterbi algorithm CpG Island HMM,Bayes',genome,biotechnology
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