ArticleNature communications2021
Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- A token-pruning framework enables efficient representation of the human genome for RNA modification analysis.Bioinformatics (Oxford, England) · 2026Article
- Sequence determinant and functional relevance of 8-oxoguanine RNA modification unveiled from foundation-model-based predictor.Molecular therapy. Nucleic acids · 2026Article
- mArXiv · 2026Article
- Article
- EvoRMD: integrating biological context and evolutionary RNA language models for interpretable prediction of RNA modifications.Genome biology · 2026Article
- RNA modification-mediated multidimensional crosstalk: a novel perspective on gene expression regulation.Genome biology · 2026Review
- Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning.Briefings in bioinformatics · 2026Article
- Accelerate the Highly Efficient Development of mRNA Vaccines Through Advanced Computational Methods.MedComm · 2026Review
- Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data.Communications medicine · 2026Article
- Deep learning in multi-omics integration for gastrointestinal cancer biomarker discovery.Frontiers in oncology · 2026Review
- m5C and m6A cooperatively stabilize EPHB4 to drive lymphatic metastasis in gastric cancer.Frontiers in genetics · 2026Article
- Fusion_f5C-Pred: a dual-branch feature fusion framework for 5-formylcytosine modification sites prediction.BMC genomics · 2025Article
- OMetaNet: an efficient hybrid deep learning model based on multimodal data fusion and contrastive learning for predicting 2'-O-methylation sites in human RNA.BMC bioinformatics · 2025Article
- MCLCBA: multi-view contrastive learning network for RNA methylation site prediction.BMC bioinformatics · 2025Article
- DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing.Nature communications · 2025Article
- A foundation language model to decipher diverse regulation of RNAs.Genome biology · 2025Article
- MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration.Briefings in bioinformatics · 2025Article
- YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning.BMC biology · 2025Article
- Interpretability-guided RNA NCommunications biology · 2025Article
- Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data.Briefings in bioinformatics · 2025Article
4 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
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Abstract
Recent studies suggest that epi-transcriptome regulation via post-transcriptional RNA modifications is vital for all RNA types. Precise identification of RNA modification sites is essential for understanding the functions and regulatory mechanisms of RNAs. Here, we present MultiRM, a method for the integrated prediction and interpretation of post-transcriptional RNA modifications from RNA sequences. Built upon an attention-based multi-label deep learning framework, MultiRM not only simultaneously predicts the putative sites of twelve widely occurring transcriptome modifications (m
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