ArticleBriefings in bioinformatics2022
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 37 citations in OpenAlex.
- Revisiting Algorithms, Tools, and Applications for Sequence and Phylogenetic Analyses in the NGS-Based Omics Era.Biochemical genetics · 2026Review
- A scalable equivariant graph network framework for precise protein function prediction.Genome biology · 2025Article
- LOCAS: multilabel mRNA localization with supervised contrastive learning.Briefings in bioinformatics · 2025Article
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- Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data.Discover oncology · 2025Review
- EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance.BMC genomics · 2024Article
- Advancing miRNA cancer research through artificial intelligence: from biomarker discovery to therapeutic targeting.Medical oncology (Northwood, London, England) · 2024Review
- Human essential gene identification based on feature fusion and feature screening.IET systems biology · 2024Article
- Advancing microRNA target site prediction with transformer and base-pairing patterns.Nucleic acids research · 2024Article
- MSlocPRED: deep transfer learning-based identification of multi-label mRNA subcellular localization.Briefings in bioinformatics · 2024Article
- DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships.Biomolecules · 2024Article
- Advancing mRNA subcellular localization prediction with graph neural network and RNA structure.Bioinformatics (Oxford, England) · 2024Article
- A Review for Artificial Intelligence Based Protein Subcellular Localization.Biomolecules · 2024Review
- TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus.PloS one · 2023Article
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
Subcellular localization of messenger RNAs (mRNAs) plays a key role in the spatial regulation of gene activity. The functions of mRNAs have been shown to be closely linked with their localizations. As such, understanding of the subcellular localizations of mRNAs can help elucidate gene regulatory networks. Despite several computational methods that have been developed to predict mRNA localizations within cells, there is still much room for improvement in predictive performance, especially for the multiple-location prediction. In this study, we proposed a novel multi-label multi-class predictor, termed Clarion, for mRNA subcellular localization prediction. Clarion was developed based on a manually curated benchmark dataset and leveraged the weighted series method for multi-label transformation. Extensive benchmarking tests demonstrated Clarion achieved competitive predictive performance and the weighted series method plays a crucial role in securing superior performance of Clarion. In addition, the independent test results indicate that Clarion outperformed the state-of-the-art methods and can secure accuracy of 81.47, 91.29, 79.77, 92.10, 89.15, 83.74, 80.74, 79.23 and 84.74% for chromatin, cytoplasm, cytosol, exosome, membrane, nucleolus, nucleoplasm, nucleus and ribosome, respectively. The webserver and local stand-alone tool of Clarion is freely available at http://monash.bioweb.cloud.edu.au/Clarion/.
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