A survey of deep learning for detecting miRNA-disease associations: databases, computational methods, challenges, and future directions
N Sheng, X **e, Y Wang, L Huang… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
MicroRNAs (miRNAs) are an important class of non-coding RNAs that play an essential role
in the occurrence and development of various diseases. Identifying the potential miRNA …
in the occurrence and development of various diseases. Identifying the potential miRNA …
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Y Guo, D Zhou, X Ruan, J Cao - Neural Networks, 2023 - Elsevier
MicroRNAs (miRNA) play critical roles in diverse biological processes of diseases. Inferring
potential disease-miRNA associations enable us to better understand the development and …
potential disease-miRNA associations enable us to better understand the development and …
Peripheral blood MicroRNAs as biomarkers of schizophrenia: expectations from a meta-analysis that combines deep learning methods
S Han, Y Li, J Gao - The World Journal of Biological Psychiatry, 2024 - Taylor & Francis
Objectives This study aimed at identifying reliable differentially expressed miRNAs (DEMs)
for schizophrenia in blood via meta-analyses combined with deep learning methods …
for schizophrenia in blood via meta-analyses combined with deep learning methods …
Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information
Z Lou, Z Cheng, H Li, Z Teng, Y Liu… - Briefings in …, 2022 - academic.oup.com
Motivation In recent years, a large number of biological experiments have strongly shown
that miRNAs play an important role in understanding disease pathogenesis. The discovery …
that miRNAs play an important role in understanding disease pathogenesis. The discovery …
Predicting CircRNA-disease associations via feature convolution learning with heterogeneous graph attention network
L Peng, C Yang, Y Chen, W Liu - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Exploring the relationship between circular RNA (circRNA) and disease is beneficial for
revealing the mechanisms of disease pathogenesis. However, a blind search for all possible …
revealing the mechanisms of disease pathogenesis. However, a blind search for all possible …
AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification
Q Ning, Y Zhao, J Gao, C Chen, X Li… - Briefings in …, 2023 - academic.oup.com
In recent years, many experiments have proved that microRNAs (miRNAs) play a variety of
important regulatory roles in cells, and their abnormal expression can lead to the emergence …
important regulatory roles in cells, and their abnormal expression can lead to the emergence …
N6-methyladenosine-modified circRIMS2 mediates synaptic and memory impairments by activating GluN2B ubiquitination in Alzheimer's disease
X Wang, J **e, L Tan, Y Lu, N Shen, J Li, H Hu… - Translational …, 2023 - Springer
Background Synaptic degeneration occurs in the early stage of Alzheimer's disease (AD)
before devastating symptoms, strongly correlated with cognitive decline. Circular RNAs …
before devastating symptoms, strongly correlated with cognitive decline. Circular RNAs …
NCMD: Node2vec-based neural collaborative filtering for predicting miRNA-disease association
Numerous studies have reported that micro RNAs (miRNAs) play pivotal roles in disease
pathogenesis based on the deregulation of the expressions of target messenger RNAs …
pathogenesis based on the deregulation of the expressions of target messenger RNAs …
Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares
W Wang, H Chen - Briefings in Bioinformatics, 2022 - academic.oup.com
Increasing biomedical evidence has proved that the dysregulation of miRNAs is associated
with human complex diseases. Identification of disease-related miRNAs is of great …
with human complex diseases. Identification of disease-related miRNAs is of great …
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
Motivation A large number of studies have shown that circular RNA (circRNA) affects
biological processes by competitively binding miRNA, providing a new perspective for the …
biological processes by competitively binding miRNA, providing a new perspective for the …