000 -LEADER |
fixed length control field |
03880nam a22004575i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310150234.0 |
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 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QH301-705 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
570 |
Edition number |
23 |
264 #1 - |
-- |
New York, NY : |
-- |
Springer New York : |
-- |
Imprint: Springer, |
-- |
2011. |
912 ## - |
-- |
ZDB-2-SBL |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Horvath, Steve. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Weighted Network Analysis |
Medium |
[electronic resource] : |
Remainder of title |
Applications in Genomics and Systems Biology / |
Statement of responsibility, etc |
by Steve Horvath. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXIII, 421p. 54 illus., 46 illus. in color. |
Other physical details |
online resource. |
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. |
|
Topical term or geographic name as entry element |
Human genetics. |
|
Topical term or geographic name as entry element |
Bioinformatics. |
|
Topical term or geographic name as entry element |
Biological models. |
|
Topical term or geographic name as entry element |
Biology |
General subdivision |
Data processing. |
|
Topical term or geographic name as entry element |
Life Sciences. |
|
Topical term or geographic name as entry element |
Systems Biology. |
|
Topical term or geographic name as entry element |
Bioinformatics. |
|
Topical term or geographic name as entry element |
Human Genetics. |
|
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 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |