Probabilistic methods for bioinformatics: with an introduction to Bayesian networks
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam [u.a.]
Morgan Kaufmann/Elsevier
2009
|
| Schlagworte: | |
| Online-Zugang: | FUBA1 Volltext |
| Beschreibung: | 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 Includes bibliographical references (pages 387-399) and index |
| Beschreibung: | 1 Online-Ressource (XII, 406 S.) Ill., graph. Darst. |
| ISBN: | 9780080919362 0080919367 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042305305 | ||
| 003 | DE-604 | ||
| 005 | 20210504 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150129s2009 |||| o||u| ||||||eng d | ||
| 020 | |a 9780080919362 |c electronic bk. |9 978-0-08-091936-2 | ||
| 020 | |a 0080919367 |c electronic bk. |9 0-08-091936-7 | ||
| 024 | 7 | |a 10.1016/C2009-0-16189-5 |2 doi | |
| 035 | |a (OCoLC)429896566 | ||
| 035 | |a (DE-599)BVBBV042305305 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-188 | ||
| 082 | 0 | |a 572.80285 |2 22 | |
| 100 | 1 | |a Neapolitan, Richard E. |e Verfasser |0 (DE-588)141964383 |4 aut | |
| 245 | 1 | 0 | |a Probabilistic methods for bioinformatics |b with an introduction to Bayesian networks |c Richard E. Neapolitan |
| 264 | 1 | |a Amsterdam [u.a.] |b Morgan Kaufmann/Elsevier |c 2009 | |
| 300 | |a 1 Online-Ressource (XII, 406 S.) |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a 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 | ||
| 500 | |a Includes bibliographical references (pages 387-399) and index | ||
| 650 | 4 | |a Bioinformatics. Bayesian statistical decision theory. Probabilities | |
| 650 | 7 | |a COMPUTERS / Bioinformatics |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Bioinformatics |2 fast | |
| 650 | 7 | |a Probabilities |2 fast | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Bayesian statistical decision theory | |
| 650 | 4 | |a Probabilities | |
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wahrscheinlichkeitstheorie |0 (DE-588)4079013-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | 1 | |a Bayes-Verfahren |0 (DE-588)4204326-8 |D s |
| 689 | 0 | 2 | |a Wahrscheinlichkeitstheorie |0 (DE-588)4079013-7 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-0-12-370476-4 |w (DE-604)BV041342231 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0-12-370476-6 |w (DE-604)BV041342231 |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780123704764 |x Verlag |3 Volltext |
| 912 | |a ZDB-33-ESD |a ZDB-33-EBS | ||
| 940 | 1 | |q FAW_PDA_ESD | |
| 940 | 1 | |q FLA_PDA_ESD | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027742297 | ||
| 966 | e | |u http://www.sciencedirect.com/science/book/9780123704764 |l FUBA1 |p ZDB-33-ESD |q ZDB-33-ESD 2012 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804152888261345280 |
|---|---|
| any_adam_object | |
| author | Neapolitan, Richard E. |
| author_GND | (DE-588)141964383 |
| author_facet | Neapolitan, Richard E. |
| author_role | aut |
| author_sort | Neapolitan, Richard E. |
| author_variant | r e n re ren |
| building | Verbundindex |
| bvnumber | BV042305305 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)429896566 (DE-599)BVBBV042305305 |
| 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 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03740nmm a2200577zc 4500</leader><controlfield tag="001">BV042305305</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210504 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150129s2009 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080919362</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-08-091936-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080919367</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-08-091936-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/C2009-0-16189-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)429896566</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042305305</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield><subfield code="a">DE-188</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">572.80285</subfield><subfield code="2">22</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Neapolitan, Richard E.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)141964383</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Probabilistic methods for bioinformatics</subfield><subfield code="b">with an introduction to Bayesian networks</subfield><subfield code="c">Richard E. Neapolitan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam [u.a.]</subfield><subfield code="b">Morgan Kaufmann/Elsevier</subfield><subfield code="c">2009</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XII, 406 S.)</subfield><subfield code="b">Ill., graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 387-399) and index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics. Bayesian statistical decision theory. Probabilities</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Bioinformatics</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Bayesian statistical decision theory</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Bioinformatics</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Probabilities</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian statistical decision theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probabilities</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wahrscheinlichkeitstheorie</subfield><subfield code="0">(DE-588)4079013-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Bayes-Verfahren</subfield><subfield code="0">(DE-588)4204326-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Wahrscheinlichkeitstheorie</subfield><subfield code="0">(DE-588)4079013-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-0-12-370476-4</subfield><subfield code="w">(DE-604)BV041342231</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0-12-370476-6</subfield><subfield code="w">(DE-604)BV041342231</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780123704764</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FAW_PDA_ESD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027742297</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780123704764</subfield><subfield code="l">FUBA1</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">ZDB-33-ESD 2012</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV042305305 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T01:17:52Z |
| institution | BVB |
| isbn | 9780080919362 0080919367 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027742297 |
| oclc_num | 429896566 |
| open_access_boolean | |
| owner | DE-1046 DE-188 |
| owner_facet | DE-1046 DE-188 |
| physical | 1 Online-Ressource (XII, 406 S.) Ill., graph. Darst. |
| psigel | ZDB-33-ESD ZDB-33-EBS FAW_PDA_ESD FLA_PDA_ESD ZDB-33-ESD ZDB-33-ESD 2012 |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Morgan Kaufmann/Elsevier |
| record_format | marc |
| spelling | Neapolitan, Richard E. Verfasser (DE-588)141964383 aut Probabilistic methods for bioinformatics with an introduction to Bayesian networks Richard E. Neapolitan Amsterdam [u.a.] Morgan Kaufmann/Elsevier 2009 1 Online-Ressource (XII, 406 S.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier 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 Includes bibliographical references (pages 387-399) and index Bioinformatics. Bayesian statistical decision theory. Probabilities COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s Bayes-Verfahren (DE-588)4204326-8 s Wahrscheinlichkeitstheorie (DE-588)4079013-7 s DE-604 Erscheint auch als Druck-Ausgabe 978-0-12-370476-4 (DE-604)BV041342231 Erscheint auch als Druck-Ausgabe 0-12-370476-6 (DE-604)BV041342231 http://www.sciencedirect.com/science/book/9780123704764 Verlag Volltext |
| spellingShingle | Neapolitan, Richard E. Probabilistic methods for bioinformatics with an introduction to Bayesian networks Bioinformatics. Bayesian statistical decision theory. Probabilities COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4204326-8 (DE-588)4079013-7 |
| 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 | Bioinformatics. Bayesian statistical decision theory. Probabilities COMPUTERS / Bioinformatics bisacsh Bayesian statistical decision theory fast Bioinformatics fast Probabilities fast Bioinformatics Bayesian statistical decision theory Probabilities Bioinformatik (DE-588)4611085-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| topic_facet | Bioinformatics. Bayesian statistical decision theory. Probabilities COMPUTERS / Bioinformatics Bayesian statistical decision theory Bioinformatics Probabilities Bioinformatik Bayes-Verfahren Wahrscheinlichkeitstheorie |
| url | http://www.sciencedirect.com/science/book/9780123704764 |
| work_keys_str_mv | AT neapolitanricharde probabilisticmethodsforbioinformaticswithanintroductiontobayesiannetworks |