Overview
- Will cover the entire spectrum of techniques in computational biology and their applications in the field of oncology, including microarrays, gels, mass spectra, SNPs and haplotypes, and even a brief discussion of the applications of systems biology
Part of the book series: Applied Bioinformatics and Biostatistics in Cancer Research (ABB)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics.
With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Biology
Book Subtitle: Issues and Applications in Oncology
Editors: Tuan Pham
Series Title: Applied Bioinformatics and Biostatistics in Cancer Research
DOI: https://doi.org/10.1007/978-1-4419-0811-7
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag New York 2010
Hardcover ISBN: 978-1-4419-0810-0Published: 29 October 2009
Softcover ISBN: 978-1-4614-2478-9Published: 25 February 2012
eBook ISBN: 978-1-4419-0811-7Published: 23 September 2009
Series ISSN: 2363-9644
Series E-ISSN: 2363-9652
Edition Number: 1
Number of Pages: VIII, 310
Number of Illustrations: 64 b/w illustrations, 26 illustrations in colour
Topics: Cancer Research, Pharmacology/Toxicology