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Home > Bioinformatics Methods in Clinical Research > Machine Learning: An Indispensable Tool in Bioinformatics
Bioinformatics Methods in Clinical Research |
Rune Matthiesen
Humana Press
Bioinformatics Methods in Clinical Research
Machine Learning: An Indispensable Tool in Bioinformatics
Authors

Iñaki Inza; Borja Calvo; Rubén Armañanzas; Endika Bengoetxea; Pedro Larrañaga; José A. Lozano

ARI Id

1665021603500_4499253

Access

Not Available Free

Pages

25-48

DOI

10.1007/978-1-60327-194-3_2

Chapter URL

https://rd.springer.com/protocol/10.1007/978-1-60327-194-3_2

Table of Contents of Book
Showing 1 to 18 of 18 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-x
Introduction to Omics
Ewa Gubb; Rune Matthiesen
1-23
Machine Learning: An Indispensable Tool in Bioinformatics
Iñaki Inza; Borja Calvo; Rubén Armañanzas; Endika Bengoetxea; Pedro Larrañaga; José A. Lozano
25-48
SNP-PHAGE: High-Throughput SNP Discovery Pipeline
Ana M. Aransay; Rune Matthiesen; Manuela M. Regueiro
49-65
R Classes and Methods for SNP Array Data
Robert B. Scharpf; Ingo Ruczinski
67-79
Overview on Techniques in Cluster Analysis
Itziar Frades; Rune Matthiesen
81-107
Nonalcoholic Steatohepatitis, Animal Models, and Biomarkers: What Is New?
Usue Ariz; Jose Maria Mato; Shelly C. Lu; Maria L. Martínez Chantar
109-136
Biomarkers in Breast Cancer
María dM. Vivanco
137-156
Genome-Wide Proximal Promoter Analysis and Interpretation
Elizabeth Guruceaga; Victor Segura; Fernando J. Corrales; Angel Rubio
157-174
Proteomics Facing the Combinatorial Problem
Rune Matthiesen; António Amorim
175-186
Methods and Algorithms for Relative Quantitative Proteomics by Mass Spectrometry
Rune Matthiesen; Ana Sofia Carvalho
187-204
Feature Selection and Machine Learning with Mass Spectrometry Data
Susmita Datta; Vasyl Pihur
205-229
Computational Methods for Analysis of Two-Dimensional Gels
Gorka Lasso; Rune Matthiesen
231-262
Mass Spectrometry in Epigenetic Research
Hans Christian Beck
263-282
Computational Approaches to Metabolomics
David S. Wishart
283-313
Algorithms and Methods for Correlating Experimental Results with Annotation Databases
Michael Hackenberg; Rune Matthiesen
315-340
Analysis of Biological Processes and Diseases Using Text Mining Approaches
Martin Krallinger; Florian Leitner; Alfonso Valencia
341-382
Back Matter
383-387
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 18 of 18 entries
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