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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US : Imprint: Springer,
2010.
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| Έκδοση: | 1. |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Concepts, Issues, and Approaches
- 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
- Tools and Applications
- The caBIG‚ Clinical Trials Suite
- The CAISIS Research Data System
- A Common Application Framework that is Extensible: CAF-É
- Shared Resource Management
- The caBIG® Life Sciences 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.
