Our method can also predict potential miRNAs specific to new diseases with no known related miRNAs. Index Terms—MiRNA; Disease; Association Prediction; ...
MiRNA-disease association prediction plays an important role in identifying human disease-related miRNAs. This approach is helpful not only to formulate ...
Feb 3, 2022 · Our method can also predict potential miRNAs specific to new diseases with no known related miRNAs. Index Terms—MiRNA, disease, association ...
Mar 23, 2023 · In this paper, we present a new computational method based on positive point-wise mutual information (PPMI) and attention network to predict miRNA-disease ...
People also ask
How do you predict miRNA targets?
What is the algorithmic prediction of the MicroRNA target based on?
What is in silico prediction of miRNA?
Dec 23, 2022 · Experimental results show that rich higher order organizational structures exposed in the MDA network gain new insight into the MDA prediction ...
Missing: Proximity- | Show results with:Proximity-
Jun 25, 2021 · In this study, we propose a computational machine learning-based method (DANE-MDA) that preserves integrated structure and attribute features ...
Apr 15, 2024 · In this study, we propose a novel approach named MGCNSS with the multi-layer graph convolution and high-quality negative sample selection strategy.
Missing: Proximity- | Show results with:Proximity-
Jun 21, 2022 · In this study, we advance a new computational framework (GATMDA) to discover unknown miRNA-disease associations based on graph attention network ...
Apr 28, 2023 · We propose a novel model, termed as GCNA-MDA, where dual-autoencoder and graph convolutional network (GCN) are integrated to predict miRNA-disease association.
Jan 19, 2024 · Our method provides an innovative and high-performing approach to understanding the interaction between circRNA and miRNA.