Weighted Network Analysis (Record no. 106011)

000 -LEADER
fixed length control field 04004nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-1-4419-8819-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083728.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110429s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441988195
-- 978-1-4419-8819-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4419-8819-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH301-705
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSA
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI086000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI064000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Horvath, Steve.
Relator term author.
245 10 - TITLE STATEMENT
Title Weighted Network Analysis
Medium [electronic resource] :
Remainder of title Applications in Genomics and Systems Biology /
Statement of responsibility, etc by Steve Horvath.
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XXIII, 421p. 54 illus., 46 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Networks and fundamental concepts -- Approximately factorizable networks -- Different type of network concepts -- Adjacency functions and their topological effects -- Correlation and gene co-expression networks -- Geometric interpretation of correlation networks using the singular value decomposition -- Constructing networks from matrices -- Clustering Procedures and module detection -- Evaluating whether a module is preserved in another network -- Association and statistical significance measures -- Structural equation models and directed networks -- Integrated weighted correlation network analysis of mouse liver gene expression data -- Networks based on regression models and prediction methods -- Networks between categorical or discretized numeric variables -- Networks based on the joint probability distribution of random variables -- Index.
520 ## - SUMMARY, ETC.
Summary, etc This book presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods and results also apply to unweighted networks. Although aspects of weighted network analysis relate to standard data mining methods, the intuitive network language and analysis framework transcend any particular analysis method. Weighted networks give rise to data reduction methods, clustering procedures, visualization methods, data exploratory methods, and intuitive approaches for integrating disparate data sets. Weighted networks have been used to analyze a variety of high dimensional genomic data sets including gene expression-, epigenetic-, methylation-, proteomics-, and fMRI- data. Chapters explore the fascinating topological structure of weighted networks and provide geometric interpretations of network methods. Powerful systems-level analysis methods result from combining network- with data mining methods. The book not only describes the WGCNA R package but also other software packages. Weighted gene co-expression network applications, real data sets, and exercises guide the reader on how to use these methods in practice, e.g. in systems-biologic or systems-genetic applications. The material is self-contained and only requires a minimum knowledge of statistics. The book is intended for students, faculty, and data analysts in many fields including bioinformatics, computational biology, statistics, computer science, biology, genetics, applied mathematics, physics, and social science. 
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life sciences.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Human genetics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biological models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biology
General subdivision Data processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Human Genetics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Appl. in Life Sciences.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441988188
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-8819-5
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