Computational Biology Issues and Applications in Oncology /
Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, a...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2010.
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| Σειρά: | Applied Bioinformatics and Biostatistics in Cancer Research
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
