A Hands-on Introduction to Hidden Markov Models

Name: A Hands-on Introduction to Hidden Markov Models
Published: 2019-01-04
License: CC Attribution-NonCommercial-ShareAlike 4.0 International

Tony Weisstein; Elena Gracheva; Zane Goodwin; Zongtai Qi; Wilson Leung; Christopher D. Shaffer; Sarah C.R. Elgin

doi:10.25334/Q4ZM88

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A Hands-on Introduction to Hidden Markov Models

Author(s): Tony Weisstein¹, Elena Gracheva², Zane Goodwin², Zongtai Qi², Wilson Leung², Christopher D. Shaffer², Sarah C.R. Elgin²

1. Truman State University 2. Washington University in St. Louis

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Summary:

A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 04 Jan 2019 doi:10.25334/Q4ZM88 - cite this

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Version	Released	DOI Handle	Status
1.0	Jan 04, 2019	10.25334/Q4ZM88	published	view version »