Hierarchical graph attention network for miRNA-disease association prediction
Many biological studies show that the mutation and abnormal expression of microRNAs
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph
Accurate identification of the miRNA-disease associations (MDAs) helps to understand the
etiology and mechanisms of various diseases. However, the experimental methods are …
etiology and mechanisms of various diseases. However, the experimental methods are …
Recent development of bioinformatics tools for microRNA target prediction
MicroRNAs (miRNAs) are central players that regulate the post-transcriptional processes of
gene expression. Binding of miRNAs to target mRNAs can repress their translation by …
gene expression. Binding of miRNAs to target mRNAs can repress their translation by …
SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association
J Ha - Knowledge-Based Systems, 2023 - Elsevier
Background: Based on increasing evidence, microRNAs (miRNAs) play significant roles in
various complex human diseases. Therefore, identifying the disease-related miRNAs could …
various complex human diseases. Therefore, identifying the disease-related miRNAs could …
Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations
Numerous experimental studies have indicated that alteration and dysregulation in
mircroRNAs (miRNAs) are associated with serious diseases. Identifying disease-related …
mircroRNAs (miRNAs) are associated with serious diseases. Identifying disease-related …
Survey on Recommender Systems for Biomedical Items in Life and Health Sciences
The generation of biomedical data is of such magnitude that its retrieval and analysis have
posed several challenges. A survey of recommender system (RS) approaches in biomedical …
posed several challenges. A survey of recommender system (RS) approaches in biomedical …
Scmfmda: Predicting microrna-disease associations based on similarity constrained matrix factorization
L Li, Z Gao, YT Wang, MW Zhang, JC Ni… - PLoS computational …, 2021 - journals.plos.org
miRNAs belong to small non-coding RNAs that are related to a number of complicated
biological processes. Considerable studies have suggested that miRNAs are closely …
biological processes. Considerable studies have suggested that miRNAs are closely …
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 …
MSGCL: inferring miRNA–disease associations based on multi-view self-supervised graph structure contrastive learning
X Ruan, C Jiang, P Lin, Y Lin, J Liu… - Briefings in …, 2023 - academic.oup.com
Potential miRNA–disease associations (MDA) play an important role in the discovery of
complex human disease etiology. Therefore, MDA prediction is an attractive research topic …
complex human disease etiology. Therefore, MDA prediction is an attractive research topic …
MDA-CF: predicting miRNA-disease associations based on a cascade forest model by fusing multi-source information
Q Dai, Y Chu, Z Li, Y Zhao, X Mao, Y Wang… - Computers in Biology …, 2021 - Elsevier
MicroRNAs (miRNAs) are significant regulators in various biological processes. They may
become promising biomarkers or therapeutic targets, which provide a new perspective in …
become promising biomarkers or therapeutic targets, which provide a new perspective in …