Bioinformatics methods in clinical research /

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Bibliographic Details
Imprint:	New York, N.Y. : Humana Press, ©2010.
Description:	1 online resource (x, 387 pages) : illustrations (some color)
Language:	English
Series:	Springer Protocols Methods in molecular biology, 1940-6029 ; 593 Springer protocols (Series) Methods in molecular biology (Clifton, N.J.) ; v. 593.
Subject:	Clinical medicine -- Research. Bioinformatics. Investigative Techniques Informatics. Computational Biology. Information Science. Research. Systems Biology. Medical Informatics. Methods. Biomedical Research. Biology. Analytical, Diagnostic and Therapeutic Techniques and Equipment Science. Natural Science Disciplines. Biological Science Disciplines. Disciplines and Occupations Bioinformatics. Clinical medicine -- Research. Methods (Music)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11281168

Hidden Bibliographic Details
Other authors / contributors:	Matthiesen, Rune.
ISBN:	9781603271943 1603271945 9781603271936 1603271937
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Restrictions unspecified Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 English. digitized 2010 HathiTrust Digital Library committed to preserve Print version record.
Summary:	Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful Methods in Molecular Biology series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Informative and ground-breaking, Bioinformatics Methods in Clinical Research establishes a much-needed bridge between theory and practice, making it an indispensable resource for bioinformatics researchers.
Other form:	Print version: Bioinformatics methods in clinical research. New York, NY : Humana ; London : Springer [distributor], ©2010 9781603271936
Standard no.:	10.1007/978-1-60327-194-3

Table of Contents:

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

Bioinformatics methods in clinical research /

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