| Description |
1 online resource |
| Series |
Quantitative and network biology ; volume 7 |
|
Quantitative and network biology ; v. 7.
|
| Contents |
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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (John Wiley, viewed August 4, 2016) |
| Subject |
Computational biology.
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Systems biology.
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R (Computer program language)
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Computational Biology
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Systems Biology
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Computational biology
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R (Computer program language)
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Systems biology
|
| Form |
Electronic book
|
| Author |
Dehmer, Matthias, 1968- editor.
|
|
Shi, Yongtang, editor
|
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Emmert-Streib, Frank, editor.
|
| ISBN |
9783527694365 |
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3527694366 |
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9783527694402 |
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3527694404 |
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9783527694372 |
|
3527694374 |
|
9783527694389 |
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3527694382 |
|
