Integration of heterogeneous data sources for identification of disease genes using computational techniques
Genes related to causing some disease are called disease-causing genes or disease genes. In wet-lab experiments, disease genes are identified by mutation analysis, which is expensive and labor extensive. In this thesis, we propose novel computational techniques to predict disease genes. In the first...
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Format: | Thesis |
Language: | English |
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2011
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Online Access: | https://hdl.handle.net/10356/43993 |