Biomedical Informatics for Cancer Research
In the past two decades, the large investment in cancer research led to identification of the complementary roles of genetic mutation and epigenetic change as the fundamental drivers of cancer. With these discoveries, we now recognize the deep heterogeneity in cancer, in which phenotypically similar...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Boston, MA :
Springer US : Imprint: Springer,
2010.
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| Edition: | 1. |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-5714-6 |
Table of Contents:
- Biomedical Informatics for Cancer Research: Introduction
- Clinical Research Systems and Integration with Medical Systems
- Data Management, Databases and Warehousing
- Middleware Architecture Approaches for Collaborative Cancer Research
- Federated Authentication
- Genomics Data Analysis Pipelines
- Mathematical Modeling in Cancer
- Reproducible Research Concepts and Tools for Cancer Bioinformatics
- The Cancer Biomedical Informatics Grid (caBIG℗): An Evolving Community for Cancer Research
- The caBIG℗ Clinical Trials Suite
- The CAISIS Research Data System
- A Common Application Framework that is Extensible: CAF
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- Shared Resource Management (SRM)
- The caBIG℗ Life Science Distribution
- MeV: MultiExperiment Viewer
- Authentication and Authorization in Cancer Research Systems
- Caching and Visualizing Statistical Analyses
- Familial Cancer Risk Assessment Using BayesMendel
- Interpreting and Comparing Clustering Experiments through Graph Visualization and Ontology Statistical Enrichment with the ClutrFree Package
- Enhanced Dynamic Documents for Reproducible Research.