Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine

Hardcover | July 16, 2007

EditorIgor Jurisica, Dennis A. Wigle, Bill Wong

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Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Key challenges in this field include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.

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Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered by developing and assessing methods and systems for the acquisition, processing, and interpreta...

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Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools. Key cha...

Igor Jurisica, PhD Dr. Jurisica is a Canada Research Chair in Integrative Computational Biology, a Scientist at the Ontario Cancer Institute, University Health Network since 2000, Associate Professor in the Departments of Computer Science and Medical Biophysics, University of Toronto, Adjunct Professor at School of Computing Science,...
Format:HardcoverDimensions:200 pages, 9.25 × 6.1 × 0.27 inPublished:July 16, 2007Publisher:Springer USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387693203

ISBN - 13:9780387693200

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Table of Contents

Part I. Introduction.- Part II. Bio-Medical Platforms.- In-vivo systems for studying cancer.- Molecular subtypes of cancer from gene expression profiling.- Mass spectrometry-based systems biology.- Part III. Computational Platforms.- Informatics.- Integrative Computational Biology.- Part IV. Future Steps and Challenges.- Glossary.- References.- Index.