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...
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| Format: | Electronic |
| Language: | English |
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New York, NY :
Springer New York,
2010.
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| Series: | Applied Bioinformatics and Biostatistics in Cancer Research
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| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-0811-7 |
Table of Contents:
- 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 modelling
- Multi-cluster 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 analyses
- The Challenges in Blood Proteomic Biomarker Discovery.