Journal
BIOMED RESEARCH INTERNATIONAL
Volume 2014, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2014/416323
Keywords
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Funding
- Natural Science Foundation of China [61370010, 61202011, 61271346, 61172098, 60932008]
- Ph.D. Programs Foundation of Ministry of Education of China [20120121120039]
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Diseases are closely related to genes, thus indicating that genetic abnormalities may lead to certain diseases. The recognition of disease genes has long been a goal in biology, which may contribute to the improvement of health care and understanding gene functions, pathways, and interactions. However, few large-scale gene-gene association datasets, disease-disease association datasets, and gene-disease association datasets are available. A number of machine learning methods have been used to recognize disease genes based on networks. This paper states the relationship between disease and gene, summarizes the approaches used to recognize disease genes based on network, analyzes the core problems and challenges of the methods, and outlooks future research direction.
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