Computational Biology Issues and Applications in Oncology

Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, a...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Pham, Tuan (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : Springer New York 2010.
Colección:Applied Bioinformatics and Biostatistics in Cancer Research.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32683662*spi
Descripción
Sumario:Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.
Descripción Física:VIII, 310 p., 90 il., 26 il. col
Formato:Forma de acceso: World Wide Web.
ISBN:9781441908117