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Biomedical informatics for cancer research / Michael F. Ochs, John T. Casagrande, Ramana V. Davuluri, editors. — New York : Springer, c2010. – (64.82/B615b) |
Contents
Contents
Section 1 Concepts, Issues, and Approaches
1 Biomedical Informatics for Cancer Research: Introduction
2 Clinical Research Systems and Integration with Medical Systems
3 Data Management, Databases, and Warehousing
4 Middleware Architecture Approaches for Collaborative Cancer Research
5 Federated Authentication
6 Genomics Data Analysis Pipelines
7 Mathematical Modeling in Cancer
8 Reproducible Research Concepts and Tools for Cancer Bioinformatics 149
9 The Cancer Biomedical Informatics Grid (caBIG): An Evolving Community for Cancer Research 177
Section 2 Tools and Applications 201
10 The caBIG Clinical Trials Suite 203
11 The CAISIS Research Data System
12 A Common Application Framework that is Extensible: CAF-E 227
13 Shared Resource Management 241
14 The caBIG Life Sciences Distribution 253
15 MeV: MultiExperiment Viewer 267
16 Authentication and Authorization in Cancer Research Systems 279
17 Caching and Visualizing Statistical Analyses 291
18 Familial Cancer Risk Assessment Using BayesMendel 301
19 Interpreting and Comparing Clustering Experiments Through Graph Visualization and Ontology Statistical Enrichment with the ClutrFree Package 315
20 Enhanced Dynamic Documents for Reproducible Research 335
Index 347