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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
Clasificación:Libro Electrónico
Otros Autores: Dehmer, Matthias, 1968- (Editor ), Shi, Yongtang (Editor ), Emmert-Streib, Frank (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Weinheim, Germany : Wiley-VCH, [2016]
Colección:Quantitative and network biology ; v. 7.
Temas:
Acceso en línea:Texto completo

MARC

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264 1 |a Weinheim, Germany :  |b Wiley-VCH,  |c [2016] 
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490 1 |a Quantitative and network biology ;  |v volume 7 
505 0 |a Using the DiffCorr Package to Analyze and Visualize Differential Correlations in Biological Networks / Atsushi Fukushima, Kozo Nishida -- Analytical Models and Methods for Anomaly Detection in Dynamic, Attributed Graphs / Benjamin A Miller, Nicholas Arcolano, Stephen Kelley, Nadya T Bliss -- Bayesian Computational Algorithms for Social Network Analysis / Alberto Caimo, Isabella Gollini -- Threshold Degradation in R Using iDEMO / Chien-Yu Peng, Ya-Shan Cheng -- Optimization of Stratified Sampling with the R Package SamplingStrata: Applications to Network Data / Marco Ballin, Giulio Barcaroli -- Exploring the Role of Small Molecules in Biological Systems Using Network Approaches / Rajarshi Guha, Sourav Das -- Performing Network Alignments with R / Qiang Huang, Ling-Yun Wu -- ℓ1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields / Luigi Augugliaro, Angelo M Mineo, Ernst C Wit -- Cluster Analysis of Social Networks Using R / Malika Charrad -- Inference and Analysis of Gene Regulatory Networks in R / Ricardo de M Simoes, Matthias Dehmer, Constantine Mitsiades, Frank Emmert-Streib -- Visualization of Biological Networks Using NetBioV / Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib. 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (John Wiley, viewed August 4, 2016). 
520 |a 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. 
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650 0 |a Systems biology. 
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