E-Book, Englisch, 310 Seiten, eBook
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
Pham Computational Biology
1. Auflage 2009
ISBN: 978-1-4419-0811-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Issues and Applications in Oncology
E-Book, Englisch, 310 Seiten, eBook
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
ISBN: 978-1-4419-0811-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.
