Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine / Edition 1

Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine / Edition 1

by Igor Jurisica
     
 

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 challenges include integrating

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Overview

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 challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.

Addressing important clinical questions in cancer research will benefit from expanding computational biology.

The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.

Series editor comments:

"Cancer informatics has become a critical component of modern investigations. A combination of system's biology and the magnitude of data sets associated with cancer research require sophisticated technologies to manage the broad spectrum of collective knowledge. This text provides a comprehensive review of the field presented by leaders in the discipline."

Steven T. Rosen, M.D.

Series Editor

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Product Details

ISBN-13:
9781441943446
Publisher:
Springer US
Publication date:
11/29/2010
Series:
Cancer Treatment and Research Series, #137
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
180
Product dimensions:
0.43(w) x 9.21(h) x 6.14(d)

Table of Contents

I.- II.- Bio-Medical Platforms.- In Vivo Systems for Studying Cancer.- Molecular Subtypes of Cancer from Gene Expression Profiling.- Mass Spectrometry-based Systems Biology.- III.- Computational Platforms.- Informatics.- Integrative Computational Biology.- IV.- Future Steps and Challenges.

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