Cancer Bioinformatics

Autor: Ying Xu
CHF 130.00
ISBN: 978-1-4939-4303-6
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 20-45 Arbeitstagen
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This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.


This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.


Autor Ying Xu
Verlag Springer Nature EN
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2016
Seitenangabe 368 S.
Ausgabekennzeichen Englisch
Abbildungen Previously published in hardcover; XXVI, 368 p. 68 illus., schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
Masse H23.5 cm x B15.5 cm 5'971 g
Coverlag Springer (Imprint/Brand)
Auflage Softcover reprint of the original 1st ed. 2014

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