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George, Joby
- miRNA-miRNA and Disease-Disease Similarity Identification and Disease Detection Using KBNSI
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PDF Views:2
Authors
MP. Jijith
1,
Joby George
1
Affiliations
1 Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, IN
1 Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, IN
Source
Biometrics and Bioinformatics, Vol 9, No 9 (2017), Pagination: 181-186Abstract
Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated with the development and progression of various complex human diseases. However, the roles of miRNAs in multiple biological processes or various diseases and their underlying molecular mechanisms still have not been fully understood yet. Meanwhile, target diseases need to be revealed for some new microRNAs without any known target disease association information as new microRNAs are discovered each year. Therefore, computational methods for microRNA-disease association prediction have gained a lot of research interest. Considering the limitations in previous computational methods, here developing the model of Kernel Based Network Similarity Integration (KBNSI). It integrate the result of both the miRNA-miRNA association and the disease disease association similarity and then it will integrates the both results, then detect the disease.Keywords
Measuring the Similarity, miRNA and Disease Association, Disease-Related miRNAs, Disease-Disease Association, miRNA Associations, miRNA Similarity, Disease Similarity, Similarity Matrix.
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