Format:
Online-Ressource (digital)
ISBN:
9780387693217
Series Statement:
Cancer Treatment and Research 137
Content:
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
Note:
Description based upon print version of record
,
Front Matter; Introduction; Bio-Medical Platforms; In Vivo Systems for Studying Cancer; Molecular Subtypes of Cancer from Gene Expression Profiling; Mass Spectrometry-based Systems Biology; Computational Platforms; Informatics; Integrative Computational Biology; Future Steps and Challenges; Back Matter;
Additional Edition:
ISBN 9780387693200
Additional Edition:
Buchausg. u.d.T. Cancer informatics in the post genomic era New York, NY : Springer Science+Business Media, 2007 ISBN 0387693203
Additional Edition:
ISBN 9780387693200
Language:
English
Subjects:
Biology
Keywords:
Krebs
;
Molekulare Bioinformatik
;
Krebs
;
Molekularbiologie
;
Molekulare Bioinformatik
;
Aufsatzsammlung
DOI:
10.1007/978-0-387-69321-7
URL:
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