BookTuan Pham, editor.
Contents:
Identification of Relevant Genes from Microarray Experiments based on Partial Least Squares Weights: Application to Cancer Genomics
Geometric Biclustering and Its Applications to Cancer Tissue Classification Based on DNA Microarray Gene Expression Data
Statistical Analysis on Microarray Data: Selection of Gene Prognosis Signatures
Agent-Based Modeling of Ductal Carcinoma In Situ: Application to Patient-Specific Breast Cancer Modeling
Multicluster Class-Based Classification for the Diagnosis of Suspicious Areas in Digital Mammograms
Analysis of Cancer Data Using Evolutionary Computation
Analysis of Population-Based Genetic Association Studies Applied to Cancer Susceptibility and Prognosis
Selected Applications of Graph-Based Tracking Methods for Cancer Research
Recent Advances in Cell Classification for Cancer Research and Drug Discovery
Computational Tools and Resources for Systems Biology Approaches in Cancer
Laser Speckle Imaging for Blood Flow Analysis
The Challenges in Blood Proteomic Biomarker Discovery.