Cancer bioinformatics

Ying Xu, Juan Cui, David Puett

Research output: Book/ReportBook

12 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
PublisherSpringer New York
Number of pages368
ISBN (Electronic)9781493913817
ISBN (Print)9781493913800
DOIs
StatePublished - Jan 1 2014

Fingerprint

Bioinformatics
Textbooks
Gene expression
Computer science
Large scale systems
Students
Biostatistics

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Xu, Y., Cui, J., & Puett, D. (2014). Cancer bioinformatics. Springer New York. https://doi.org/10.1007/978-1-4939-1381-7

Cancer bioinformatics. / Xu, Ying; Cui, Juan; Puett, David.

Springer New York, 2014. 368 p.

Research output: Book/ReportBook

Xu Y, Cui J, Puett D. Cancer bioinformatics. Springer New York, 2014. 368 p. https://doi.org/10.1007/978-1-4939-1381-7
Xu, Ying ; Cui, Juan ; Puett, David. / Cancer bioinformatics. Springer New York, 2014. 368 p.
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