Computational Biology : Issues and Applications in Oncology /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Applied Bioinformatics and Biostatistics in Cancer Research,
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| Materias: |
Tabla de Contenidos:
- 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.