MiRNA-disease association prediction based on meta-paths
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab571
Abstract: Since miRNAs can participate in the posttranscriptional regulation of gene expression, they may provide ideas for the development of new drugs or become new biomarkers for drug targets or disease diagnosis. In this work, we… read more here.
Keywords: meta paths; association prediction; based meta; disease association ... See more keywords
Research progress of miRNA-disease association prediction and comparison of related algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac066
Abstract: With an in-depth understanding of noncoding ribonucleic acid (RNA), many studies have shown that microRNA (miRNA) plays an important role in human diseases. Because traditional biological experiments are time-consuming and laborious, new calculation methods have… read more here.
Keywords: disease; disease association; mirna disease; association prediction ... See more keywords
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac388
Abstract: Circular RNAs (circRNAs) are involved in the regulatory mechanisms of multiple complex diseases, and the identification of their associations is critical to the diagnosis and treatment of diseases. In recent years, many computational methods have… read more here.
Keywords: circrna disease; disease; disease association; association prediction ... See more keywords
springD2A: capturing uncertainty in disease-drug association prediction with model integration
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab820
Abstract: MOTIVATION Drug repositioning that aims to find new indications for existing drugs has been an efficient strategy for drug discovery. In the scenario where we only have confirmed disease-drug associations as positive pairs, a negative… read more here.
Keywords: disease drug; drug association; drug; model ... See more keywords
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3067338
Abstract: MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical role in many biological processes, such as cell growth, development, differentiation and aging. Increasing studies have revealed that miRNAs are closely involved in many… read more here.
Keywords: mirna disease; disease association; association prediction; method ... See more keywords
Improving miRNA Disease Association Prediction Accuracy Using Integrated Similarity Information and Deep Autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3195514
Abstract: MicroRNAs (miRNAs) are short endogenous non-encoding RNA molecules (22nt) that have a vital role in many biological and molecular processes inside the human body. Abnormal and dysregulated expressions of miRNAs are correlated with many complex… read more here.
Keywords: association prediction; similarity; disease; feature ... See more keywords
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
Sign Up to like & getrecommendations! Published in 2017 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1005912
Abstract: Predicting novel microRNA (miRNA)-disease associations is clinically significant due to miRNAs’ potential roles of diagnostic biomarkers and therapeutic targets for various human diseases. Previous studies have demonstrated the viability of utilizing different types of biological… read more here.
Keywords: mirna disease; disease; subspace; disease association ... See more keywords