PREDICTING MIRNA-DISESE ASSOCIATIONS BASED ON MIRNA AND DISEASE SIMILARITY
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DEPARTMENT OF COMPUTER SCIENCE COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY,
KOCHI, ERNAKULAM, 682 022
KOCHI, ERNAKULAM, 682 022
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Abstract
Many different approaches have been used to find miRNA and disease associations.But none of the state-of-art methods use global information instead of using local infor- mation. As of now, this work has been done considering maximum 2 similarities of miRNA or Disease. In the proposed method, we tried finding MiRNA disease asso- ciation using five similarities. The work also calculates the accuracy of the resulting miRNA -Disease prediction using a SOM approach.
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Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 6
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Jun 07 2026
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Nair, A. A. (2026). Predicting miRNA-Disese Associations based on miRNA and Disease similarity. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.051
Nair, Aparna. "Predicting miRNA-Disese Associations based on miRNA and Disease similarity." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.051.
Nair, Aparna. "Predicting miRNA-Disese Associations based on miRNA and Disease similarity." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.051.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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