ArticleNature communications2022
Deep learning modeling m
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- RNA mActa pharmacologica Sinica · 2026Review
- Beyond mBiomedicines · 2026Review
- Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures.PLoS computational biology · 2026Article
- Screening of M6a methylated genes associated with preovulatory follicle development in Bashang long-tailed chicken.Poultry science · 2026Article
- Sequence determinant and functional relevance of 8-oxoguanine RNA modification unveiled from foundation-model-based predictor.Molecular therapy. Nucleic acids · 2026Article
- Oncogenic DEAD-box ATPase DDX41 establishes transcript ensembles via CLK3-dependent and -independent mechanisms.Nature communications · 2025Article
- Integrating machine learning and protein-ligand interaction profiling for the discovery of METTL3 inhibitors.Scientific reports · 2025Article
- RBM15-MKL1 fusion protein promotes leukemia via m6A methylation and Wnt pathway activation.Blood · 2025Article
- A hybrid framework of generative deep learning for antiviral peptide discovery.Scientific reports · 2025Article
- Interpretability-guided RNA NCommunications biology · 2025Article
- Nanopore direct RNA sequencing of human transcriptomes reveals the complexity of mRNA modifications and crosstalk between regulatory features.Cell genomics · 2025Article
- Nucleotide-resolution Mapping of RNA N6-Methyladenosine (m6A) modifications and comprehensive analysis of global polyadenylation events in mRNA 3' end processing in malaria pathogenbioRxiv : the preprint server for biology · 2025Article
- Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.Cell genomics · 2025Article
- RNA N6-adenine methylation dynamics impact Hyaloperonospora arabidopsidis resistance in Arabidopsis.Plant physiology · 2024Article
- Decoding the specificity of mMolecular therapy : the journal of the American Society of Gene Therapy · 2024Review
- Variable calling of m6A and associated features in databases: a guide for end-users.Briefings in bioinformatics · 2024Review
- Big data and deep learning for RNA biology.Experimental & molecular medicine · 2024Review
- Review
- Deciphering RNA splicing logic with interpretable machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Methylation across the central dogma in health and diseases: new therapeutic strategies.Signal transduction and targeted therapy · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The N
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.