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Item Details
Title: COMPUTATIONAL NETWORK ANALYSIS WITH R
APPLICATIONS IN BIOLOGY, MEDICINE AND CHEMISTRY
By: Matthias Dehmer (Editor), Yongtang Shi (Editor), Frank Emmert-Streib (Editor)
Format: Electronic book text

List price: £126.00


We believe that this item is permanently unavailable, and so we cannot source it.

ISBN 10: 3527694404
ISBN 13: 9783527694402
Publisher: JOHN WILEY AND SONS LTD
Pub. date: 22 July, 2016
Series: Quantitative and Network Biology (VCH)
Pages: 368
Synopsis: 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.
Publication: UK
Imprint: Wiley-VCH Verlag GmbH
Returns: Non-returnable
Some other items by this author:
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY (HB)
ANALYSIS OF COMPLEX NETWORKS
ANALYSIS OF COMPLEX NETWORKS (HB)
ANALYSIS OF MICROARRAY DATA
ANALYSIS OF MICROARRAY DATA (HB)
APPLICATIONS OF STATISTICAL AND MACHINE LEARNING METHODS IN BIOINFORMATICS (PB)
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY (HB)
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS (HB)
COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R (HB)
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY (HB)
ELEMENTS OF DATA SCIENCE, MACHINE LEARNING, AND ARTIFICIAL INTELLIGENCE USING R (HB)
FRONTIERS IN DATA SCIENCE
FRONTIERS IN DATA SCIENCE (HB)
GRAPH ENERGY (HB)
GRAPH ENERGY (PB)
GRAPH POLYNOMIALS
GRAPH POLYNOMIALS (HB)
INFORMATION THEORY AND STATISTICAL LEARNING (HB)
INFORMATION THEORY AND STATISTICAL LEARNING (PB)
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY (HB)
MATHEMATICAL FOUNDATIONS OF DATA SCIENCE USING R
MATHEMATICAL FOUNDATIONS OF DATA SCIENCE USING R (HB)
MEDICAL BIOSTATISTICS FOR COMPLEX DISEASES
MEDICAL BIOSTATISTICS FOR COMPLEX DISEASES (HB)
QUANTITATIVE GRAPH THEORY
QUANTITATIVE GRAPH THEORY (HB)
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS (HB)
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER (HB)
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR (HB)
STRUCTURAL ANALYSIS OF COMPLEX NETWORKS
STRUCTURAL ANALYSIS OF COMPLEX NETWORKS (HB)
STRUKTURELLE ANALYSE WEB-BASIERTER DOKUMENTE (PB)
TOWARDS AN INFORMATION THEORY OF COMPLEX NETWORKS (HB)



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