Cancer Bioinformatics

Nonfiction, Health & Well Being, Medical, Specialties, Oncology, Computers, Advanced Computing, Computer Science, Science & Nature, Science
Cover of the book Cancer Bioinformatics by Ying Xu, Juan Cui, David Puett, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ying Xu, Juan Cui, David Puett ISBN: 9781493913817
Publisher: Springer New York Publication: August 30, 2014
Imprint: Springer Language: English
Author: Ying Xu, Juan Cui, David Puett
ISBN: 9781493913817
Publisher: Springer New York
Publication: August 30, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Thermodynamics of Crystalline States by Ying Xu, Juan Cui, David Puett
Cover of the book Advances in Applied Mathematics and Approximation Theory by Ying Xu, Juan Cui, David Puett
Cover of the book Finance with Monte Carlo by Ying Xu, Juan Cui, David Puett
Cover of the book Advanced Materials for Thermal Management of Electronic Packaging by Ying Xu, Juan Cui, David Puett
Cover of the book Lateral Gene Transfer in Evolution by Ying Xu, Juan Cui, David Puett
Cover of the book Design of Experiments in Nonlinear Models by Ying Xu, Juan Cui, David Puett
Cover of the book The Tunguska Mystery by Ying Xu, Juan Cui, David Puett
Cover of the book Great Health Care by Ying Xu, Juan Cui, David Puett
Cover of the book Magnetic Resonance Angiography by Ying Xu, Juan Cui, David Puett
Cover of the book Reoperative Pelvic Surgery by Ying Xu, Juan Cui, David Puett
Cover of the book Clinical PET and PET/CT by Ying Xu, Juan Cui, David Puett
Cover of the book Ophthalmic Pathology by Ying Xu, Juan Cui, David Puett
Cover of the book Accounting Information and Equity Valuation by Ying Xu, Juan Cui, David Puett
Cover of the book Mexican Solidarity by Ying Xu, Juan Cui, David Puett
Cover of the book Information Technology for Small Business by Ying Xu, Juan Cui, David Puett
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy