ArticleGenes2019
i6mA-DNCP: Computational Identification of DNA
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Mamba6mA: a Mamba-based DNA N6-methyladenine site prediction model.Bioinformatics (Oxford, England) · 2026Article
- DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.PloS one · 2025Article
- PSATF-6mA: an integrated learning fusion feature-encoded DNA-6 mA methylcytosine modification site recognition model based on attentional mechanisms.Frontiers in genetics · 2024Article
- MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae.Frontiers in plant science · 2023Article
- i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting.Frontiers in plant science · 2022Article
- Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.Briefings in bioinformatics · 2021Article
- A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome.Scientific reports · 2021Article
- Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.PLoS computational biology · 2021Article
- Harnessing Current Knowledge of DNA N6-Methyladenosine From Model Plants for Non-model Crops.Frontiers in genetics · 2021Review
- Article
- iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network Tool.Frontiers in genetics · 2021Article
- Article
- iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes.iScience · 2020Article
- DNA NPlants (Basel, Switzerland) · 2020Review
- Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach.Frontiers in genetics · 2020Article
- RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA
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.