Fundamentals of Data Mining in Genomics and Proteomics
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Published By Springer US

9780387475080, 9780387475097

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Classification of Genomic and Proteomic Data Using Support Vector Machines

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_9 ◽

2007 ◽

pp. 187-202 ◽

Cited By ~ 4

Author(s):

Peter Johansson ◽

Markus Ringnér

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Proteomic Data ◽

Vector Machines

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Design Principles for Microarray Investigations

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_2 ◽

2007 ◽

pp. 39-49

Author(s):

Kathleen F. Kerr

Keyword(s):

Design Principles

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Introduction to Genomic and Proteomic Data Analysis

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_1 ◽

2007 ◽

pp. 1-37 ◽

Cited By ~ 3

Author(s):

Daniel Berrar ◽

Martin Granzow ◽

Werner Dubitzky

Keyword(s):

Data Analysis ◽

Proteomic Data

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Text Mining in Genomics and Proteomics

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_12 ◽

2007 ◽

pp. 251-274 ◽

Cited By ~ 1

Author(s):

Robert Hoffmann

Keyword(s):

Text Mining ◽

Genomics And Proteomics

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Clustering — Class Discovery in the Post-Genomic Era

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_6 ◽

2007 ◽

pp. 123-148 ◽

Cited By ~ 1

Author(s):

Joaquín Dopazo

Keyword(s):

Class Discovery

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Pre-Processing Mass Spectrometry Data

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_4 ◽

2007 ◽

pp. 79-102 ◽

Cited By ~ 28

Author(s):

Kevin R. Coombes ◽

Keith A. Baggerly ◽

Jeffrey S. Morris

Keyword(s):

Mass Spectrometry ◽

Mass Spectrometry Data

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Visualization in Genomics and Proteomics

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_5 ◽

2007 ◽

pp. 103-122

Author(s):

Xiaochun Li ◽

Jaroslaw Harezlak

Keyword(s):

Genomics And Proteomics

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Feature Selection and Dimensionality Reduction in Genomics and Proteomics

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_7 ◽

2007 ◽

pp. 149-172 ◽

Cited By ~ 7

Author(s):

Milos Hauskrecht ◽

Richard Pelikan ◽

Michal Valko ◽

James Lyons-Weiler

Keyword(s):

Feature Selection ◽

Dimensionality Reduction ◽

Genomics And Proteomics

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Pre-Processing DNA Microarray Data

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_3 ◽

2007 ◽

pp. 51-78 ◽

Cited By ~ 1

Author(s):

Benjamin M. Bolstad

Keyword(s):

Dna Microarray ◽

Microarray Data ◽

Dna Microarray Data

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Resampling Strategies for Model Assessment and Selection

Fundamentals of Data Mining in Genomics and Proteomics ◽

10.1007/978-0-387-47509-7_8 ◽

2007 ◽

pp. 173-186 ◽

Cited By ~ 9

Author(s):

Richard Simon

Keyword(s):

Model Assessment

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Fundamentals of Data Mining in Genomics and ProteomicsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Classification of Genomic and Proteomic Data Using Support Vector Machines

Design Principles for Microarray Investigations

Introduction to Genomic and Proteomic Data Analysis

Text Mining in Genomics and Proteomics

Clustering — Class Discovery in the Post-Genomic Era

Pre-Processing Mass Spectrometry Data

Visualization in Genomics and Proteomics

Feature Selection and Dimensionality Reduction in Genomics and Proteomics

Pre-Processing DNA Microarray Data

Resampling Strategies for Model Assessment and Selection

Fundamentals of Data Mining in Genomics and Proteomics
Latest Publications