Probabilistic methods for bioinformatics: 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 exp...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam
Morgan Kaufmann/Elsevier
[2009]
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Schlagworte: | |
Online-Zugang: | FLA01 URL des Erstveröffentlichers |
Zusammenfassung: | "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 in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach." |
Beschreibung: | Includes bibliographical references (pages 387-399) and index |
Beschreibung: | 1 online resource (xii, 406 pages) illustrations |
ISBN: | 9780080919362 0080919367 |
Internformat
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650 | 7 | |a COMPUTERS / Bioinformatics |2 bisacsh | |
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Datensatz im Suchindex
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any_adam_object | |
author | Neapolitan, Richard E. |
author_facet | Neapolitan, Richard E. |
author_role | aut |
author_sort | Neapolitan, Richard E. |
author_variant | r e n re ren |
building | Verbundindex |
bvnumber | BV046125276 |
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collection | ZDB-33-ESD |
ctrlnum | (ZDB-33-ESD)ocn429896566 (OCoLC)429896566 (DE-599)BVBBV046125276 |
dewey-full | 572.80285 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 572 - Biochemistry |
dewey-raw | 572.80285 |
dewey-search | 572.80285 |
dewey-sort | 3572.80285 |
dewey-tens | 570 - Biology |
discipline | Biologie Mathematik |
format | Electronic eBook |
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id | DE-604.BV046125276 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:35:51Z |
institution | BVB |
isbn | 9780080919362 0080919367 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031505729 |
oclc_num | 429896566 |
open_access_boolean | |
physical | 1 online resource (xii, 406 pages) illustrations |
psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Morgan Kaufmann/Elsevier |
record_format | marc |
spelling | Neapolitan, Richard E. Verfasser aut Probabilistic methods for bioinformatics with an introduction to Bayesian networks Richard E. Neapolitan Amsterdam Morgan Kaufmann/Elsevier [2009] © 2009 1 online resource (xii, 406 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 387-399) and index "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 in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach." COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics. Bayesian statistical decision theory. Probabilities Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd rswk-swf Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s Bayes-Verfahren (DE-588)4204326-8 s Wahrscheinlichkeitstheorie (DE-588)4079013-7 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 0123704766 Erscheint auch als Druck-Ausgabe 9780123704764 http://www.sciencedirect.com/science/book/9780123704764 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Neapolitan, Richard E. Probabilistic methods for bioinformatics with an introduction to Bayesian networks COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics. Bayesian statistical decision theory. Probabilities Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
subject_GND | (DE-588)4611085-9 (DE-588)4079013-7 (DE-588)4204326-8 |
title | Probabilistic methods for bioinformatics with an introduction to Bayesian networks |
title_auth | Probabilistic methods for bioinformatics with an introduction to Bayesian networks |
title_exact_search | Probabilistic methods for bioinformatics with an introduction to Bayesian networks |
title_full | Probabilistic methods for bioinformatics with an introduction to Bayesian networks Richard E. Neapolitan |
title_fullStr | Probabilistic methods for bioinformatics with an introduction to Bayesian networks Richard E. Neapolitan |
title_full_unstemmed | Probabilistic methods for bioinformatics with an introduction to Bayesian networks Richard E. Neapolitan |
title_short | Probabilistic methods for bioinformatics |
title_sort | probabilistic methods for bioinformatics with an introduction to bayesian networks |
title_sub | with an introduction to Bayesian networks |
topic | COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics. Bayesian statistical decision theory. Probabilities Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
topic_facet | COMPUTERS / Bioinformatics Bayesian statistical decision theory Bioinformatics Probabilities Bioinformatics. Bayesian statistical decision theory. Probabilities Bioinformatik Wahrscheinlichkeitstheorie Bayes-Verfahren |
url | http://www.sciencedirect.com/science/book/9780123704764 |
work_keys_str_mv | AT neapolitanricharde probabilisticmethodsforbioinformaticswithanintroductiontobayesiannetworks |