Table of Content
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.
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