BUWEN CAO1,*, JIAWEI LUO2,*, SAINAN XIAO1,2, 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 >
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