Coverart for item
The Resource Fundamentals of data mining in genomics and proteomics, edited by Werner Dubitzky, Martin Granzow, Daniel Berrar, (electronic resource)

Fundamentals of data mining in genomics and proteomics, edited by Werner Dubitzky, Martin Granzow, Daniel Berrar, (electronic resource)

Label
Fundamentals of data mining in genomics and proteomics
Title
Fundamentals of data mining in genomics and proteomics
Statement of responsibility
edited by Werner Dubitzky, Martin Granzow, Daniel Berrar
Contributor
Subject
Language
eng
Summary
To exploit data obtained from experimental and observational studies, life scientists need to understand the analytical techniques and methods from statistics and data mining. These techniques are not easily accessible to life scientists working on genomics and proteomics problems. This book aims to present these analytical methods
Dewey number
572.8/6
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1958-
  • 1970-
  • 1972-
http://library.link/vocab/relatedWorkOrContributorName
  • Dubitzky, Werner
  • Granzow, Martin
  • Berrar, Daniel P.
http://library.link/vocab/subjectName
  • Genomics
  • Proteomics
  • Data mining
Label
Fundamentals of data mining in genomics and proteomics, edited by Werner Dubitzky, Martin Granzow, Daniel Berrar, (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
Front Matter; Introduction to Genomic and Proteomic Data Analysis; Design Principles for Microarray Investigations; Pre-Processing DNA Microarray Data; Pre-Processing Mass Spectrometry Data; Visualization in Genomics and Proteomics; Clustering -- Class Discovery in the Post-Genomic Era; Feature Selection and Dimensionality Reduction in Genomics and Proteomics; Resampling Strategies for Model Assessment and Selection; Classification of Genomic and Proteomic Data Using Support Vector Machines; Networks in Cell Biology; Identifying Important Explanatory Variables for Time-Varying Outcomes
Control code
ocn186568905
Dimensions
unknown
Extent
1 online resource (xxii, 281 p.)
Form of item
online
Isbn
9780387475080
Isbn Type
(Cloth)
Other physical details
ill
Specific material designation
remote
System control number
(OCoLC)186568905
Label
Fundamentals of data mining in genomics and proteomics, edited by Werner Dubitzky, Martin Granzow, Daniel Berrar, (electronic resource)
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
Front Matter; Introduction to Genomic and Proteomic Data Analysis; Design Principles for Microarray Investigations; Pre-Processing DNA Microarray Data; Pre-Processing Mass Spectrometry Data; Visualization in Genomics and Proteomics; Clustering -- Class Discovery in the Post-Genomic Era; Feature Selection and Dimensionality Reduction in Genomics and Proteomics; Resampling Strategies for Model Assessment and Selection; Classification of Genomic and Proteomic Data Using Support Vector Machines; Networks in Cell Biology; Identifying Important Explanatory Variables for Time-Varying Outcomes
Control code
ocn186568905
Dimensions
unknown
Extent
1 online resource (xxii, 281 p.)
Form of item
online
Isbn
9780387475080
Isbn Type
(Cloth)
Other physical details
ill
Specific material designation
remote
System control number
(OCoLC)186568905

Library Locations

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