Computational Biology, 2010 Issues and Applications in Oncology Applied Bioinformatics and Biostatistics in Cancer Research Series

This book will introduce contributions, both methodological and technical, that have been made and are currently in progress in the field of computational biology as a resource in cancer research and oncology. This volume will illustrate the tools used in this area through a wide range of timely applications in genetics, genomics, and biomedical areas.

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.

Will cover the entire spectrum of techniques in computational biology and their applications in the field of oncology, including microarrays, gels, mass spectra, SNPs and haplotypes, and even a brief discussion of the applications of systems biology