Bioinformatics methods in clinical research
By: edited by Rune Matthiesen
Series: Springer protocols; Methods in molecular biology -- 593; Springer protocols; Methods in molecular biology (Clifton, N.J.) -- v. 593.
Publisher: Humana Press; Springer [distributor]
Published: 2010
Place of publication: New York, NY; London
Language: eng
Number of pages: 387
ISBN-13: 9781603271936; 9781603271943
Subjects: Clinical medicine; Methods; Bioinformatics; Systems Biology; Biomedical Research; Medical Informatics; Research
Notes: Includes bibliographical references and index.

Also available in an electronic version.
Table of contents: title: Introduction to omics / Ewa Gubb and Rune Matthiesen; title: Machine learning : an indispensable tool in bioinformatics / Iñaki Inza ... [et al.]; title: SNP-PHAGE : high-throughput SNP discovery pipeline / Ana M. Aransay, Rune Matthiesen, and Manuela M. Regueiro; title: R classes and methods for SNP array data / Robert B. Scharpf and Ingo Ruczinski; title: Overview on techniques in cluster analysis / Itziar Frades and Rune Matthiesen; title: Nonalcoholic steatohepatitis, animal models, and biomarkers : what is new? : / Usue Ariz ... [et al.]; title: Biomarkers in breast cancer / María dM. Vivanco; title: Genome-wide proximal promoter analysis and interpretation / Elizabeth Guruceaga ... [et al.]; title: Proteomics facing the combinatorial problem / Rune Matthiesen and António Amorim; title: Methods and algorithms for relative quantitative proteomics by mass spectrometry / Rune Matthiesen and Ana Sofia Carvalho; title: Feature selection and machine learning with mass spectrometry data / Susmita Datta and Vasyl Pihur; title: Computational methods for analysis of two-dimensional gels / Gorka Lasso and Rune Matthiesen; title: Mass spectrometry in epigenetic research / Hans Christian Beck; title: Computational approaches to metabolomics / David S. Wishart; title: Algorithms and methods for correlating experimental results with annotation databases / Michael Hackenberg and Rune Matthiesen; title: Analysis of biological processes and diseases using text mining approaches / Martin Krallinger, Florian Leitner, and Alfonso Valencia.