Probabilistic methods for bionformatics with an introduction to Bayesian networks
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; Boston :
Morgan Kaufmann Publishers
c2009.
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| Edition: | 1st edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627529206719 |
| Summary: | The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (421 p.) |
| Bibliography: | Includes bibliographical references (p. 387-[399]) and index. |
| ISBN: | 9781282168428 9786612168420 9780080919362 |
