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Cancer bioinformatics [electronic resource] / Ying Xu, Juan Cui, David Puett.

Xu, Ying, author.; Cui, Juan, author.; Puett, David, author.
2014
RC270.8
Available Online
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Title
Cancer bioinformatics [electronic resource] / Ying Xu, Juan Cui, David Puett.
Author
Xu, Ying, author.
ISBN
9781493913817 electronic book
1493913816 electronic book
9781493913800
DOI
https://doi.org/10.1007/978-1-4939-1381-7
Published
New York, NY : Springer, 2014.
Language
English
Description
1 online resource (xxvi, 368 pages) : illustrations
Item Number
10.1007/978-1-4939-1381-7 doi
Call Number
RC270.8
Dewey Decimal Classification
616.99/406
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed September 8, 2014).
Added Author
Cui, Juan, author.
Puett, David, author.
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All Resources
Basic cancer biology
Omic data, information derivable and computational needs
Cancer classification and molecular signature identification
Understanding cancer at the genomic level
Elucidation of cancer divers through comparative omic analyses
Hyaluronic acid: A key facilitator of cancer evolution
Multiple routes for survival: Understanding how cancer evades apoptosis
Cancer development in competitive and hostile environments
Cell proliferation from regulated to deregulated state via epigenomic responses
Understanding cancer invasion and metastasis
Cancer after metastasis: The second transformation
Searching for cancer biomarkers in human body fluids
In silico investigation of cancer using publicly available data
Understanding cancer as an evolving complex system: our perspective.

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