AIMC Topic: RNA, Untranslated

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AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Jun 1, 2025
Non-coding RNAs (ncRNAs), which do not encode proteins, have been implicated in chemotherapy resistance in cancer treatment. Given the high costs and time requirements of traditional biological experiments, there is an increasing need for computation...
Humans Computational Biology Drug Resistance, Neoplasm RNA, Untranslated Algorithms Machine Learning Neoplasms
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DMGAT: predicting ncRNA-drug resistance associations based on diffusion map and heterogeneous graph attention network.

Briefings in bioinformatics Mar 4, 2025
Non-coding RNAs (ncRNAs) play crucial roles in drug resistance and sensitivity, making them important biomarkers and therapeutic targets. However, predicting ncRNA-drug associations is challenging due to issues such as dataset imbalance and sparsity,...
Computational Biology Drug Resistance RNA, Untranslated Humans Algorithms Deep Learning
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MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotation.

Bioinformatics (Oxford, England) Mar 4, 2025
MOTIVATION: As the biological roles and disease implications of non-coding RNAs continue to emerge, the need to thoroughly characterize previously unexplored non-coding RNAs becomes increasingly urgent. These molecules hold potential as biomarkers an...
Humans Software Deep Learning Computational Biology RNA, Untranslated Molecular Sequence Annotation
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High throughput variant libraries and machine learning yield design rules for retron gene editors.

Nucleic acids research Jan 11, 2025
The bacterial retron reverse transcriptase system has served as an intracellular factory for single-stranded DNA in many biotechnological applications. In these technologies, a natural retron non-coding RNA (ncRNA) is modified to encode a template fo...
Gene Library RNA, Guide, CRISPR-Cas Systems Machine Learning CRISPR-Cas Systems Saccharomyces cerevisiae RNA, Untranslated Gene Editing
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A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations.

Briefings in bioinformatics Sep 22, 2023
Non-coding RNAs (ncRNAs) play a critical role in the occurrence and development of numerous human diseases. Consequently, studying the associations between ncRNAs and diseases has garnered significant attention from researchers in recent years. Vario...
RNA, Untranslated Humans Neural Networks, Computer Research Personnel
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Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.

Briefings in bioinformatics Sep 20, 2022
Noncoding RNAs (ncRNAs) have recently attracted considerable attention due to their key roles in biology. The ncRNA-proteins interaction (NPI) is often explored to reveal some biological activities that ncRNA may affect, such as biological traits, di...
Proteins RNA, Untranslated Neural Networks, Computer Machine Learning
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WEVar: a novel statistical learning framework for predicting noncoding regulatory variants.

Briefings in bioinformatics Nov 5, 2021
Understanding the functional consequence of noncoding variants is of great interest. Though genome-wide association studies or quantitative trait locus analyses have identified variants associated with traits or molecular phenotypes, most of them are...
Gene Expression Regulation RNA, Untranslated Regulatory Sequences, Ribonucleic Acid Databases, Genetic Models, Statistical Genetic Variation Deep Learning Computational Biology Software Algorithms Humans
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NPI-GNN: Predicting ncRNA-protein interactions with deep graph neural networks.

Briefings in bioinformatics Sep 2, 2021
Noncoding RNAs (ncRNAs) play crucial roles in many biological processes. Experimental methods for identifying ncRNA-protein interactions (NPIs) are always costly and time-consuming. Many computational approaches have been developed as alternative way...
Humans Software Datasets as Topic RNA, Untranslated Benchmarking Protein Binding Sensitivity and Specificity Proteins Deep Learning Internet
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Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.

Briefings in bioinformatics Jul 20, 2021
Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few ncRNAs' functions have been well studied. Given the significance of ncRNAs classification for understanding ncRNAs' functions, more and more computation...
Nucleic Acid Conformation RNA, Untranslated Sequence Alignment Neural Networks, Computer Software
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Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
Supranuclear Palsy, Progressive RNA, Untranslated Microsatellite Repeats Genetic Association Studies Computational Biology Logistic Models Genetic Predisposition to Disease Polymorphism, Single Nucleotide Whole Genome Sequencing Genetic Variation CpG Islands MicroRNAs DNA Male Case-Control Studies Child Gene Regulatory Networks Cohort Studies Phenotype Autism Spectrum Disorder Female Humans Machine Learning
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