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Computational Network Analysis with R : Applications in Biology, Medicine and Chemistry
Matthias Dehmer, 1968- (Redaktör), Yongtang Shi (Redaktör), Frank Emmert-Streib (Redaktör)
ISBN 9783527694365 · e-bok : online, ISBN 9783527694402 · e-bok : PDF, ISBN 9783527694372 · e-bok : ePub, ISBN 9783527694389 · e-bok : Mobi, DOI 10.1002/9783527694365
utgivning
Weinheim : Wiley-VCH, 20171 online resource (xvii, 343 sidor)
Seriemedlemskap
Quantitative and Network Biology · Quantitative and Network Biology ; 7Edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib
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Ej skönlitteraturämne
Bioinformatics, Cheminformatics, Systems biology, Network analysis (Planning)--Computer programs, Computational biology, Medical informatics, R (Computer program language), Bioinformatics, Cheminformatics, Computational biology, Medical informatics, Network analysis (Planning)--Computer programs, R (Computer program language), Systems biology, Medicinsk informatik, Kemoinformatik, Bioinformatik, Systembiologi, BeräkningsbiologiAnnat bärarformat
Computational Network Analysis with R : Applications in Biology, Medicine and Chemistry · ISBN 3527339582, ISBN 9783527339587 (Print version:)Sammanfattning
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.
Innehållsförteckning
1. Using the DiffCorr Package to Analyze and Visualize Differential Correlations in Biological Networks / Atsushi Fukushima and Kozo Nishida -- 2. Analytical Models and Methods for Anomaly Detection in Dynamic, Attributed Graphs / Benjamin A. Miller, Nicholas Arcolano, Stephen Kelley, and Nadya T. Bliss -- 3. Bayesian Computational Algorithms for Social Network Analysis / Alberto Caimo and Isabella Gollini -- 4. Threshold Degradation in R Using iDEMO / Chien-Yu Peng and Ya-Shan Cheng -- 5. Optimization of Stratified Sampling with the R Package SamplingStrata: Applications to Network Data / Marco Ballin and Giulio Barcaroli -- 6. Exploring the Role of Small Molecules in Biological Systems Using Network Approaches / Rajarshi Guha and Sourav Das -- 7. Performing Network Alignments with R / Qiang Huang and Ling-Yun Wu -- 8. 𝓵1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields / Luigi Augugliaro, Angelo M. Mineo, and Ernst C. Wit -- 9. Cluster Analysis of Social Networks Using R / Malika Charrad -- 10. Inference and Analysis of Gene Regulatory Networks in R / Ricardo de M. Simoes, Matthias Dehmer, Constantine Mitsiades, and Frank Emmert-Streib -- 11. Visualization of Biological Networks Using NetBioV / Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, and Frank Emmert-Streib
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Matthias Dehmer, 1968- (Redaktör), Yongtang Shi (Redaktör), Frank Emmert-Streib (Redaktör)Identifikator
ISBN 9783527694365 · e-bok : online, ISBN 9783527694402 · e-bok : PDF, ISBN 9783527694372 · e-bok : ePub, ISBN 9783527694389 · e-bok : Mobi, DOI 10.1002/9783527694365Indirekt identifierad av
ISBN 3527339582 · Print, ISBN 9783527339587 · Printhar titel
Computational Network Analysis with R : Applications in Biology, Medicine and Chemistryupphovsuppgift
Edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streibutgivning
Weinheim : Wiley-VCH, 2017copyright
©2017omfång
1 online resource (xvii, 343 sidor)Relaterad beskrivning eller innehåll
Table of contentsanmärkning
- Blanka sidor har utelämnats i den elektroniska versionen.
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Computational Network Analysis with R : Applications in Biology, Medicine and Chemistry · ISBN 3527339582, ISBN 9783527339587 (Print version:)Seriemedlemskap
Quantitative and Network Biology · Quantitative and Network Biology ; 7kontrollnummer
19564662Resursens ID / Permalänk: https://libris.kb.se/2ldq60wd5flqg7l#it
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