The Resource Computational network analysis with R : applications in biology, medicine, and chemistry, edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib

Computational network analysis with R : applications in biology, medicine, and chemistry, edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib

Label
Computational network analysis with R : applications in biology, medicine, and chemistry
Title
Computational network analysis with R
Title remainder
applications in biology, medicine, and chemistry
Statement of responsibility
edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib
Contributor
Editor
Subject
Language
eng
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
Member of
Cataloging source
YDX
Illustrations
illustrations
Index
index present
LC call number
QH324.2
LC item number
.C65 2017
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1968-
http://library.link/vocab/relatedWorkOrContributorName
  • Dehmer, Matthias
  • Shi, Yongtang
  • Emmert-Streib, Frank
Series statement
Quantitative and network biology
Series volume
volume 7
http://library.link/vocab/subjectName
  • Bioinformatics
  • Cheminformatics
  • Systems biology
  • Network analysis (Planning)
  • Computational biology
  • Medical informatics
  • R (Computer program language)
  • Bioinformatics
  • Cheminformatics
  • Computational biology
  • Medical informatics
  • Network analysis (Planning)
  • R (Computer program language)
  • Systems biology
Label
Computational network analysis with R : applications in biology, medicine, and chemistry, edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
25 cm.
Extent
xvii, 343 pages
Isbn
9783527339587
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations (some color)
System control number
  • (OCoLC)957533969
  • (OCoLC)ocn957533969
Label
Computational network analysis with R : applications in biology, medicine, and chemistry, edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
25 cm.
Extent
xvii, 343 pages
Isbn
9783527339587
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations (some color)
System control number
  • (OCoLC)957533969
  • (OCoLC)ocn957533969

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