Bioinformatics Methods in Clinical Research

Rune Matthiesen (Herausgeber)

Buch | Hardcover
390 Seiten
2009
Humana Press Inc. (Verlag)
978-1-60327-193-6 (ISBN)

Lese- und Medienproben

Bioinformatics Methods in Clinical Research -
106,99 inkl. MwSt
Covering the latest developments in clinical omics, this volume details the algorithms currently used in publicly available software tools. It looks at statistics, algorithms, automated data retrieval, and experimental consideration in the various omics areas.
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.

to Omics.- Machine Learning: An Indispensable Tool in Bioinformatics.- SNP-PHAGE: High-Throughput SNP Discovery Pipeline.- R Classes and Methods for SNP Array Data.- Overview on Techniques in Cluster Analysis.- Nonalcoholic Steatohepatitis, Animal Models, and Biomarkers: What Is New?.- Biomarkers in Breast Cancer.- Genome-Wide Proximal Promoter Analysis and Interpretation.- Proteomics Facing the Combinatorial Problem.- Methods and Algorithms for Relative Quantitative Proteomics by Mass Spectrometry.- Feature Selection and Machine Learning with Mass Spectrometry Data.- Computational Methods for Analysis of Two-Dimensional Gels.- Mass Spectrometry in Epigenetic Research.- Computational Approaches to Metabolomics.- Algorithms and Methods for Correlating Experimental Results with Annotation Databases.- Analysis of Biological Processes and Diseases Using Text Mining Approaches.

Erscheint lt. Verlag 14.12.2009
Reihe/Serie Methods in Molecular Biology ; 593
Zusatzinfo 63 Illustrations, black and white; X, 390 p. 63 illus.
Verlagsort Totowa, NJ
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Informatik Weitere Themen Bioinformatik
Naturwissenschaften Biologie Genetik / Molekularbiologie
ISBN-10 1-60327-193-7 / 1603271937
ISBN-13 978-1-60327-193-6 / 9781603271936
Zustand Neuware
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