학술논문
Determining miRNA-disease associations using bipartite graph modelling
Document Type
Conference
Author
Source
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics. :672-673
Subject
Language
English
Abstract
Exploring miRNA-disease interactions is critical to identify the impact of a disease on other diseases. Mapping this problem to a graph theoretical concept offers a unique perspective to study unseen relationships among diseases. In our work, maximum weighted matching has been used after mapping the miRNA-disease associations as a bipartite graph. We also address the limitation of this approach using disease ranking scheme and the results are presented.