BUWEN CAO^1,*, JIAWEI LUO^2,*, SAINAN XIAO^1,2, XIANGJUN ZHOU¹

BIOCELL, Vol.46, No.8, pp. 1925-1933, 2022, DOI:10.32604/biocell.2022.019613

Abstract The association between miRNA and disease has attracted more and more attention. Until now, existing methods for identifying miRNA related disease mainly rely on top-ranked association model, which may not provide a full landscape of association between miRNA and disease. Hence there is strong need of new computational method to identify the associations from miRNA group view. In this paper, we proposed a framework, MDA-TOEPGA, to identify miRNAdisease association based on two-objective evolutionary programming genetic algorithm, which identifies latent miRNAdisease associations from the view of functional module. To understand the miRNA functional module in diseases, the case study is presented.… More >

BUWEN CAO^1,*, JIAWEI LUO^2,*, SAINAN XIAO¹, KAI ZHAO¹, SHULING YANG¹

BIOCELL, Vol.46, No.3, pp. 837-845, 2022, DOI:10.32604/biocell.2022.017538

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 based on miRNA functional similarity… More >