Cancer Bioinformatics (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	September 2014
First published:	2014
Authors:	Ying Xu • Juan Cui • David Puett
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	368
Edition:	2014 ed.
ISBN-13:	978-1-4939-1380-0
Categories:	Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General Promotions
LSN:	1-4939-1380-8
Barcode:	9781493913800

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