Computational network analysis with R applications in biology, medicine, and chemistry

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriente...

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Detalles Bibliográficos
Otros Autores: Dehmer, Matthias, 1968- editor (editor), Shi, Yongtang, editor, Emmert-Streib, Frank, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Weinheim, Germany : Wiley-VCH [2016]
Colección:Wiley ebooks.
Quantitative and network biology ; 7.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b40614761*spi
Descripción
Sumario:This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.
ISBN:9783527694365
9783527694402
9783527694372
9783527694389