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Hidden Markov Models for Bioinformatics - T. Koski
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T. Koski:
Hidden Markov Models for Bioinformatics - Livres de poche

ISBN: 9781402001369

ID: 9781402001369

This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg`s groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged. Hidden Markov Models for Bioinformatics: This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg`s groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged. Anatomie (der Tiere) Tier / Anatomie Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI AI ( Künstliche Intelligenz ) Mathematik / Biologie, Medizin, Pharmazie Statistik, Springer

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Hidden Markov Models for Bioinformatics - T. Koski
Livre non disponible
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T. Koski:
Hidden Markov Models for Bioinformatics - Livres de poche

2001, ISBN: 1402001363

ID: 18219789105

[EAN: 9781402001369], Neubuch, [PU: Springer Nov 2001], ANATOMIE (DER TIERE); TIER / ANATOMIE; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK BIOLOGIE, MEDIZIN, PHARMAZIE; STATISTIK, Mathematics|Probability & Statistics, Mathematics|Probability & Statistics|General, Science|Life Sciences|Biochemistry, Science|Life Sciences|Cytology, Neuware - This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg's groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged. 391 pp. Englisch

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Hidden Markov Models for Bioinformatics - T. Koski
Livre non disponible
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T. Koski:
Hidden Markov Models for Bioinformatics - Livres de poche

ISBN: 9781402001369

[ED: Taschenbuch], [PU: Springer], Neuware - This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg's groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged., DE, [SC: 7.00], Neuware, gewerbliches Angebot, 240x160x22 mm, 412, [GW: 653g], offene Rechnung (Vorkasse vorbehalten), sofortueberweisung.de, Selbstabholung und Barzahlung, Skrill/Moneybookers, PayPal, Lastschrift, Banküberweisung, Interntationaler Versand

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Hidden Markov Models for Bioinformatics - T. Koski
Livre non disponible
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T. Koski:
Hidden Markov Models for Bioinformatics - Livres de poche

ISBN: 9781402001369

[ED: Taschenbuch], [PU: Springer], Neuware - This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg's groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged. - Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 240x160x22 mm, 412, [GW: 653g], offene Rechnung (Vorkasse vorbehalten), PayPal, Kreditkarte, Banküberweisung, Interntationaler Versand

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Hidden Markov Models for Bioinformatics - T. Koski
Livre non disponible
(*)
T. Koski:
Hidden Markov Models for Bioinformatics - Livres de poche

2001, ISBN: 1402001363

ID: 9814150623

[EAN: 9781402001369], Neubuch, [PU: Springer Nov 2001], ANATOMIE (DER TIERE); TIER / ANATOMIE; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK BIOLOGIE, MEDIZIN, PHARMAZIE; STATISTIK, Neuware - This text is based on a set of not es produced for courses given for gradu ate students in mathematics, computer science and biochemistry during the academic year 1998-1999 at the University of Turku in Turku and at the Royal Institute of Technology (KTH) in Stockholm. The course in Turku was organized by Professor Mats Gyllenberg's groupl and was also included 2 within the postgraduate program ComBi , a Graduate School in Compu tational Biology, Bioinformatics, and Biometry, directed by Professor Esko Ukkonen at the University of Helsinki. The purpose of the courses was to give a thorough and systematic intro duc ti on to probabilistic modelling in bioinformatics for advanced undergraduate and graduate students who had a fairly limited background in prob ability theory, but were otherwise well trained in mathematics and were already familiar with at least some of the techniques of algorithmic sequence analysis. Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The initial set of notes circulated also for a time outside those two countries via the World Wide Web. The intermediate course in probability theory and techniques of discrete mathematics held by the author at the University College of Södertörn (Hud dinge, Sweden) during the academic year 1997-1998 has also influenced the presentation. The opportunity to give this course is hereby gratefully ac knowledged. 412 pp. Englisch

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Détails sur le livre
Hidden Markov Models for Bioinformatics

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.

Informations détaillées sur le livre - Hidden Markov Models for Bioinformatics


EAN (ISBN-13): 9781402001369
ISBN (ISBN-10): 1402001363
Livre de poche
Date de parution: 2007
Editeur: Springer-Verlag GmbH
416 Pages
Poids: 0,620 kg
Langue: eng/Englisch

Livre dans la base de données depuis 30.01.2008 12:11:56
Livre trouvé récemment le 11.09.2017 16:55:08
ISBN/EAN: 9781402001369

ISBN - Autres types d'écriture:
1-4020-0136-3, 978-1-4020-0136-9


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