Synopsis
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.
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About the Author
Ying Xu is a Senior Staff Scientist and Leader of the Computational Protein Structure Group at Oak Ridge National Laboratory.
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Cancer Bioinformatics
Published by
Springer-Verlag Publishing, 2014
ISBN 10: 1493913808
ISBN 13: 9781493913800
Used
Hardcover
Seller: Salish Sea Books, Bellingham, WA, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Good; Hardcover; Moderate wear to the covers; Unblemished textblock edges; The endpapers and text pages are all clean and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 0.4 lbs; Dark blue-gray covers with title in white lettering; 2014, Springer-Verlag Publishing; 368 pages; "Cancer Bioinformatics," by Ying Xu, et al. Seller Inventory # SKU-1000AD03403314
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Cancer Bioinformatics.
Published by
Springer, New York/Heidelberg/Dordrecht/London, 2014
ISBN 10: 1493913808
ISBN 13: 9781493913800
Used
Hardcover
Seller: Monkey House Books, Miller Place, NY, U.S.A.
Seller rating 5 out of 5 stars
Hardcover pictorial boards. Condition: Fine. Text seeks to provide an overview of cancer biology from an informatics perspective and to demonstrate how omic data can be used to generate insights and understanding. Cancer genomes and evolution. 368 pages. Seller Inventory # 7936
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Cancer Bioinformatics
Published by
Springer-Verlag Publishing, 2014
ISBN 10: 1493913808
ISBN 13: 9781493913800
Used
Hardcover
Seller: Salish Sea Books, Bellingham, WA, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Very Good; Hardcover; Few scratches to the covers; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; The binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Dark blue-gray covers with title in white lettering; 2014, Springer-Verlag Publishing; 368 pages; "Cancer Bioinformatics," by Ying Xu, et al. Seller Inventory # SKU-U69VB03711048
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Cancer Bioinformatics
Published by
Springer New York Sep 2014, 2014
ISBN 10: 1493913808
ISBN 13: 9781493913800
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch. Seller Inventory # 9781493913800
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Cancer Bioinformatics
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. xxvi + 368. Seller Inventory # 26142314574
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Cancer Bioinformatics (eng)
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Condition: new. Questo è un articolo print on demand. Seller Inventory # cb3adee65392eac9c9df08640ce88f39
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Cancer Bioinformatics
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand pp. xxvi + 368 68 Illus. Seller Inventory # 135017361
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Cancer Bioinformatics
Print on DemandSeller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the understanding of cancer biology from an informatics perspectiveProvides a unified conceptual framework for studying a variety of cancer related problems by considering cancer a process of cell survival through cell proliferation. Seller Inventory # 4214108
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Cancer Bioinformatics
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND pp. xxvi + 368. Seller Inventory # 18142314564
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Cancer Bioinformatics
Published by
Springer New York, Springer New York Sep 2014, 2014
ISBN 10: 1493913808
ISBN 13: 9781493913800
New
Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch. Seller Inventory # 9781493913800