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MicroRNAs and complex diseases: from experimental results to computational models
Plenty of microRNAs (miRNAs) were discovered at a rapid pace in plants, green algae,
viruses and animals. As one of the most important components in the cell, miRNAs play a …
viruses and animals. As one of the most important components in the cell, miRNAs play a …
Anti-miRNA oligonucleotides: A comprehensive guide for design
MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression
post-transcriptionally. As a consequence of their function towards mRNA, miRNAs are …
post-transcriptionally. As a consequence of their function towards mRNA, miRNAs are …
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …
import role in identifying human disease-related miRNAs. As identification of miRNA …
Predicting miRNA–disease association based on inductive matrix completion
Motivation It has been shown that microRNAs (miRNAs) play key roles in variety of
biological processes associated with human diseases. In Consideration of the cost and …
biological processes associated with human diseases. In Consideration of the cost and …
BNPMDA: bipartite network projection for MiRNA–disease association prediction
Motivation A large number of resources have been devoted to exploring the associations
between microRNAs (miRNAs) and diseases in the recent years. However, the experimental …
between microRNAs (miRNAs) and diseases in the recent years. However, the experimental …
Semi-supervised learning for potential human microRNA-disease associations inference
MicroRNAs play critical role in the development and progression of various diseases.
Predicting potential miRNA-disease associations from vast amount of biological data is an …
Predicting potential miRNA-disease associations from vast amount of biological data is an …
Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors
Background The identification of human disease-related microRNAs (disease miRNAs) is
important for further investigating their involvement in the pathogenesis of diseases. More …
important for further investigating their involvement in the pathogenesis of diseases. More …
Adaptive boosting-based computational model for predicting potential miRNA-disease associations
Motivation Recent studies have shown that microRNAs (miRNAs) play a critical part in
several biological processes and dysregulation of miRNAs is related with numerous …
several biological processes and dysregulation of miRNAs is related with numerous …
LRSSLMDA: Laplacian regularized sparse subspace learning for MiRNA-disease association prediction
Predicting novel microRNA (miRNA)-disease associations is clinically significant due to
miRNAs' potential roles of diagnostic biomarkers and therapeutic targets for various human …
miRNAs' potential roles of diagnostic biomarkers and therapeutic targets for various human …
RWRMDA: predicting novel human microRNA–disease associations
Recently, more and more research has shown that microRNAs (miRNAs) play critical roles
in the development and progression of various diseases, but it is not easy to predict potential …
in the development and progression of various diseases, but it is not easy to predict potential …