ArticleGenome research2021
Modeling transcriptional regulation of model species with deep learning.
Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- In silico genome transplants and the cis-regulatory basis of biodiversity.Trends in genetics : TIG · 2026Review
- Cross-species prediction of histone modifications in plants via deep learning.Genome biology · 2026Article
- Saturating the eQTL map in Drosophila: Genome-wide patterns of cis and trans regulation of transcriptional variation in outbred populations.Cell genomics · 2025Article
- Active learning of enhancers and silencers in the developing neural retina.Cell systems · 2025Article
- Review
- From tradition to innovation: conventional and deep learning frameworks in genome annotation.Briefings in bioinformatics · 2024Review
- Active learning of enhancer and silencer regulatory grammar in photoreceptors.bioRxiv : the preprint server for biology · 2023Article
- Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin.BMC genomics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
To enable large-scale analyses of transcription regulation in model species, we developed DeepArk, a set of deep learning models of the
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.