Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3204726
Abstract: Numerous experiments have shown that the occurrence of complex human diseases is often accompanied by abnormal expression of microRNA (miRNA). Identifying the associations between miRNAs and diseases is of great significance in the development of… read more here.
Keywords: attention networks; disease; predicting mirna; neighbor selection ... See more keywords
Predicting miRNA targets for hepatocellular carcinoma with an integrated method
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DOI: 10.21037/tcr.2020.02.46
Abstract: MicroRNAs (miRNAs), as a kind of small non-coding RNA molecules (~22 nucleotides in length), were estimated to regulate as much as 60 % of the human protein-coding genes (1,2). miRNAs modulated the levels of post-transcriptionally… read more here.
Keywords: hepatocellular carcinoma; carcinoma integrated; mirna targets; targets hepatocellular ... See more keywords
MDMF: Predicting miRNA–Disease Association Based on Matrix Factorization with Disease Similarity Constraint
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12060885
Abstract: MicroRNAs (miRNAs) have drawn enormous attention owing to their significant roles in various biological processes, as well as in the pathogenesis of human diseases. Therefore, predicting miRNA–disease associations is a pivotal task for the early… read more here.
Keywords: disease; disease associations; predicting mirna; matrix factorization ... See more keywords