Cancer Bioinformatics

Cancer Bioinformatics by Ying Xu, Juan Cui, David Puett.

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 cance...

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Bibliographic Details
Main Authors: Xu, Ying (Author), Cui, Juan (Author), Puett, David (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Springer eBook Collection.
Subjects:
Bioinformatics.
Cancer research.
Systems biology.
Medicine.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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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