Probabilistic Modeling in Bioinformatics and Medical Informatics

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following part...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Husmeier, Dirk (Editor ), Dybowski, Richard (Editor ), Roberts, Stephen (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Information and Knowledge Processing,
Temas:
Computer science-Mathematics.
Mathematical statistics.
Algorithms.
Biometry.
Bioinformatics.
Medical informatics.
Probability and Statistics in Computer Science.
Mathematical Applications in Computer Science.
Biostatistics.
Health Informatics.
Acceso en línea:Texto Completo
Descripción
Sumario:Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Descripción Física:XX, 508 p. online resource.
ISBN:9781846281198
ISSN:2197-8441

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