AIMC Topic: RNA, Circular

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Transcriptomic profiling and machine learning reveal novel RNA signatures for enhanced molecular characterization of Hashimoto's thyroiditis.

Scientific reports Jan 3, 2025
While ultrasonography effectively diagnoses Hashimoto's thyroiditis (HT), exploring its transcriptomic landscape could reveal valuable insights into disease mechanisms. This study aimed to identify HT-associated RNA signatures and investigate their p...
Machine Learning RNA, Long Noncoding Case-Control Studies Gene Regulatory Networks Female Hashimoto Disease Gene Expression Profiling RNA, Circular Male Transcriptome RNA, Messenger Middle Aged MicroRNAs Adult Humans
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Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network.

Journal of chemical information and modeling Dec 17, 2024
Numerous studies show that circular RNA (circRNA) functions as a sponge for microRNA (miRNA), significantly regulating gene expression by interacting with miRNA, which in turn affects the progression of human diseases. Traditional experimental approa...
Humans Neural Networks, Computer RNA, Circular Computational Biology MicroRNAs
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circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Investigating the associations between circRNA and diseases is vital for comprehending the underlying mechanisms of diseases and formulating effective therapies. Computational prediction methods often rely solely on known circRNA-disease data, indire...
Neural Networks, Computer Algorithms RNA, Circular Graph Neural Networks Computational Biology Humans
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KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-Disease Association Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
CircRNA is closely related to human disease, so it is important to predict circRNA-disease association (CDA). However, the traditional biological detection methods have high difficulty and low accuracy, and computational methods represented by deep l...
Datasets as Topic RNA, Circular Databases, Genetic Knowledge Bases Humans Computational Biology Models, Genetic Genetic Predisposition to Disease
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SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Circular RNAs (circRNAs) play a significant role in cancer development and therapy resistance. There is substantial evidence indicating that the expression of circRNAs affects the sensitivity of cells to drugs. Identifying circRNAs-drug sensitivity a...
Computational Biology RNA, Circular Humans Neural Networks, Computer Neoplasms Antineoplastic Agents Algorithms
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Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.

IEEE journal of biomedical and health informatics Dec 5, 2024
Identifying circular RNA (circRNA)-drug sensitivity association (CDsA) is crucial for advancing drug development. As conducting traditional wet experiments for determining CDsA is costly and inefficient, calculation methods have already proven to be ...
Humans Algorithms RNA, Circular Deep Learning Computational Biology
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An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites.

Interdisciplinary sciences, computational life sciences Nov 6, 2024
Circular RNA (circRNA) has the capacity to bind with RNA binding protein (RBP), thereby exerting a substantial impact on diseases. Predicting binding sites aids in comprehending the interaction mechanism, thereby offering insights for disease treatme...
Algorithms RNA, Circular Protein Binding Computational Biology RNA-Binding Proteins Humans Binding Sites Neural Networks, Computer
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SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction.

IEEE journal of biomedical and health informatics Nov 6, 2024
Circular RNAs (circRNAs) have emerged as a novel class of non-coding RNAs with regulatory roles in disease pathogenesis. Computational models aimed at predicting circRNA-disease associations offer valuable insights into disease mechanisms, thereby en...
RNA, Circular Algorithms Humans Computational Biology Neural Networks, Computer
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RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
As a series of single-stranded RNAs, circRNAs have been implicated in numerous diseases and can serve as valuable biomarkers for disease therapy and prevention. However, traditional biological experiments demand significant time and effort. Therefore...
Computational Biology RNA, Circular Neural Networks, Computer Algorithms Humans
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iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.

PLoS computational biology Aug 22, 2024
Circular RNAs (circRNAs) play vital roles in transcription and translation. Identification of circRNA-RBP (RNA-binding protein) interaction sites has become a fundamental step in molecular and cell biology. Deep learning (DL)-based methods have been ...
Computational Biology Humans Algorithms Binding Sites RNA, Circular Neural Networks, Computer Deep Learning RNA-Binding Proteins
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