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|a Computational network analysis with R :
|b applications in biology, medicine, and chemistry /
|c edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib.
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264 |
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1 |
|a Weinheim, Germany :
|b Wiley-VCH,
|c [2016]
|
264 |
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4 |
|c ©2017
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300 |
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|a 1 online resource
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490 |
1 |
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|a Quantitative and network biology ;
|v volume 7
|
505 |
0 |
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|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 |
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|a Includes bibliographical references and index.
|
588 |
0 |
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|a Online resource; title from PDF title page (John Wiley, viewed August 4, 2016).
|
520 |
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|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.
|
590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
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0 |
|a Computational biology.
|
650 |
|
0 |
|a Systems biology.
|
650 |
|
0 |
|a R (Computer program language)
|
650 |
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2 |
|a Computational Biology
|
650 |
|
2 |
|a Systems Biology
|
650 |
|
6 |
|a Bio-informatique.
|
650 |
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6 |
|a Biologie systémique.
|
650 |
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6 |
|a R (Langage de programmation)
|
650 |
|
7 |
|a NATURE
|x Reference.
|2 bisacsh
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650 |
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7 |
|a SCIENCE
|x Life Sciences
|x Biology.
|2 bisacsh
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650 |
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7 |
|a SCIENCE
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650 |
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7 |
|a R (Computer program language)
|2 fast
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650 |
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7 |
|a Systems biology
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655 |
|
4 |
|a Internet Resources.
|
700 |
1 |
|
|a Dehmer, Matthias,
|d 1968-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjvYRwH37jVKJFRxgp7T73
|
700 |
1 |
|
|a Shi, Yongtang,
|e editor.
|
700 |
1 |
|
|a Emmert-Streib, Frank,
|e editor.
|
758 |
|
|
|i has work:
|a Computational network analysis with R (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGg6K6D9YqMqPCk93tWCHy
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|t Computational network analysis with R.
|d Weinheim, Germany : Wiley-VCH, [2016]
|z 3527339582
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830 |
|
0 |
|a Quantitative and network biology ;
|v v. 7.
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856 |
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