AIMC Topic: RNA, Circular

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GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks.

Bioinformatics (Oxford, England) Apr 12, 2022
MOTIVATION: With the analysis of the characteristic and function of circular RNAs (circRNAs), people have realized that they play a critical role in the diseases. Exploring the relationship between circRNAs and diseases is of far-reaching significanc...
Humans Algorithms Computational Biology RNA, Circular Neural Networks, Computer Software
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circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

Briefings in bioinformatics Jan 17, 2022
Circular RNAs (circRNAs) generally bind to RNA-binding proteins (RBPs) to play an important role in the regulation of autoimmune diseases. Thus, it is crucial to study the binding sites of RBPs on circRNAs. Although many methods, including traditiona...
Binding Sites RNA, Circular Computational Biology Carrier Proteins Humans Deep Learning
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Prediction of RBP binding sites on circRNAs using an LSTM-based deep sequence learning architecture.

Briefings in bioinformatics Nov 5, 2021
Circular RNAs (circRNAs) are widely expressed in highly diverged eukaryotes. Although circRNAs have been known for many years, their function remains unclear. Interaction with RNA-binding protein (RBP) to influence post-transcriptional regulation is ...
Algorithms Reproducibility of Results Deep Learning Base Sequence Binding Sites RNA-Binding Proteins RNA, Circular ROC Curve Databases, Genetic Computational Biology
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SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations.

Briefings in bioinformatics Sep 2, 2021
Emerging research shows that circular RNA (circRNA) plays a crucial role in the diagnosis, occurrence and prognosis of complex human diseases. Compared with traditional biological experiments, the computational method of fusing multi-source biologica...
RNA, Circular Datasets as Topic Gene Expression Regulation Osteoarthritis Multiple Sclerosis Gene Regulatory Networks Risk Factors Computational Biology Neoplasms Area Under Curve Humans Databases, Genetic Deep Learning Myocardial Infarction
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Feature extraction approaches for biological sequences: a comparative study of mathematical features.

Briefings in bioinformatics Sep 2, 2021
As consequence of the various genomic sequencing projects, an increasing volume of biological sequence data is being produced. Although machine learning algorithms have been successfully applied to a large number of genomic sequence-related problems,...
Base Sequence Entropy Fourier Analysis Models, Theoretical Humans RNA, Long Noncoding Computational Biology RNA, Messenger Open Reading Frames Deep Learning RNA, Circular
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A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

Briefings in bioinformatics Jul 20, 2021
The studies on relationships between non-coding RNAs and diseases are widely carried out in recent years. A large number of experimental methods and technologies of producing biological data have also been developed. However, due to their high labor ...
Machine Learning Computational Biology RNA, Circular Humans MicroRNAs Sequence Analysis, RNA RNA, Long Noncoding
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An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.

Bioinformatics (Oxford, England) Jul 1, 2020
MOTIVATION: Emerging evidence indicates that circular RNA (circRNA) plays a crucial role in human disease. Using circRNA as biomarker gives rise to a new perspective regarding our diagnosing of diseases and understanding of disease pathogenesis. Howe...
RNA, Circular Neural Networks, Computer Algorithms Humans
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circDeep: deep learning approach for circular RNA classification from other long non-coding RNA.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alternative splicing, has become the focus of scientific studies due to its major role as a microRNA (miRNA) activity modulator and its association with va...
Reproducibility of Results RNA, Long Noncoding RNA, Circular Deep Learning Computational Biology
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Deep learning of the back-splicing code for circular RNA formation.

Bioinformatics (Oxford, England) Dec 15, 2019
MOTIVATION: Circular RNAs (circRNAs) are a new class of endogenous RNAs in animals and plants. During pre-RNA splicing, the 5' and 3' termini of exon(s) can be covalently ligated to form circRNAs through back-splicing (head-to-tail splicing). CircRNA...
RNA, Circular Deep Learning Sequence Analysis, RNA Mice RNA Splicing Animals
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Biogenesis mechanisms of circular RNA can be categorized through feature extraction of a machine learning model.

Bioinformatics (Oxford, England) Dec 1, 2019
MOTIVATION: In recent years, multiple circular RNAs (circRNA) biogenesis mechanisms have been discovered. Although each reported mechanism has been experimentally verified in different circRNAs, no single biogenesis mechanism has been proposed that c...
RNA Splice Sites RNA, Circular RNA-Binding Proteins Humans RNA Splicing Machine Learning
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