BUWEN CAO1,*, JIAWEI LUO2,*, SAINAN XIAO1, KAI ZHAO1, SHULING YANG1
BIOCELL, Vol.46, No.3, pp. 837-845, 2022, DOI:10.32604/biocell.2022.017538
- 18 November 2021
Abstract Identifying associations between microRNAs (miRNAs) and diseases is very important to understand the occurrence and development of human diseases. However, these existing methods suffer from the following limitation: first, some disease-related miRNAs are obtained from the miRNA functional similarity networks consisting of heterogeneous data sources, i.e., disease similarity, protein interaction network, gene expression. Second, little approaches infer disease-related miRNAs depending on the network topological features without the functional similarity of miRNAs. In this paper, we develop a novel model of Integrating Network Topology Similarity and MicroRNA Function Similarity (INTS-MFS). The integrated miRNA similarities are calculated… More >
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