Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics.
With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.
Author(s): Ying Chen, Danh V. Nguyen (auth.), Tuan Pham (eds.)
Series: Applied Bioinformatics and Biostatistics in Cancer Research
Edition: 1
Publisher: Springer-Verlag New York
Year: 2010
Language: English
Pages: 310
Tags: Cancer Research; Pharmacology/Toxicology
Front Matter....Pages i-viii
Identification of Relevant Genes from Microarray Experiments based on Partial Least Squares Weights: Application to Cancer Genomics....Pages 1-17
Geometric Biclustering and Its Applications to Cancer Tissue Classification Based on DNA Microarray Gene Expression Data....Pages 19-53
Statistical Analysis on Microarray Data: Selection of Gene Prognosis Signatures....Pages 55-76
Agent-Based Modeling of Ductal Carcinoma In Situ: Application to Patient-Specific Breast Cancer Modeling....Pages 77-111
Multicluster Class-Based Classification for the Diagnosis of Suspicious Areas in Digital Mammograms....Pages 113-123
Analysis of Cancer Data Using Evolutionary Computation....Pages 125-147
Analysis of Population-Based Genetic Association Studies Applied to Cancer Susceptibility and Prognosis....Pages 149-191
Selected Applications of Graph-Based Tracking Methods for Cancer Research....Pages 193-203
Recent Advances in Cell Classification for Cancer Research and Drug Discovery....Pages 205-226
Computational Tools and Resources for Systems Biology Approaches in Cancer....Pages 227-242
Laser Speckle Imaging for Blood Flow Analysis....Pages 243-271
The Challenges in Blood Proteomic Biomarker Discovery....Pages 273-299
Back Matter....Pages 301-309
