ReviewGenome biology2023
Decoding enhancer complexity with machine learning and high-throughput discovery.
Review in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed.
- Genomic language model for predicting enhancers and their allele-specific activity in the human genome.Bioinformatics (Oxford, England) · 2026Article
- NovelbioRxiv : the preprint server for biology · 2026Article
- Refining sequence-to-expression modelling with chromatin accessibility.Bioinformatics (Oxford, England) · 2026Article
- Enhancer-based gene therapy: a new path for precision medicine.Hereditas · 2026Review
- Phenotypic complexity determines the predictability of molecular convergence.bioRxiv : the preprint server for biology · 2026Article
- In silico genome transplants and the cis-regulatory basis of biodiversity.Trends in genetics : TIG · 2026Review
- Improving calls of differentially transcribed enhancers and their upstream regulators.Bioinformatics advances · 2026Article
- Comprehensive Mapping of Functional Enhancers in Chinese Hamster Ovary Cells.Biotechnology and bioengineering · 2026Article
- Motif-based models accurately predict cell type-specific distal regulatory elements.Nature communications · 2025Article
- Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025Article
- A simple model reveals why complex evolutionary innovations follow predictable paths.bioRxiv : the preprint server for biology · 2025Article
- Improving confidence of differential transcription calls in enhancers.bioRxiv : the preprint server for biology · 2025Article
- Divergent combinations of enhancers encode spatial gene expression.Nature communications · 2025Article
- Hydrophilic/Omniphobic Droplet Arrays for High-throughput and Quantitative Enzymology.Analytical chemistry · 2025Article
- Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks.Biomedicines · 2025Article
- Enhancer reprogramming: critical roles in cancer and promising therapeutic strategies.Cell death discovery · 2025Review
- Cell type-dependent directional transcription at enhancers.NAR genomics and bioinformatics · 2025Article
- Perspective on recent developments and challenges in regulatory and systems genomics.Bioinformatics advances · 2025Review
- Machine learning tools for deciphering the regulatory logic of enhancers in health and disease.Frontiers in genetics · 2025Review
- A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding.iScience · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enhancers are genomic DNA elements controlling spatiotemporal gene expression. Their flexible organization and functional redundancies make deciphering their sequence-function relationships challenging. This article provides an overview of the current understanding of enhancer organization and evolution, with an emphasis on factors that influence these relationships. Technological advancements, particularly in machine learning and synthetic biology, are discussed in light of how they provide new ways to understand this complexity. Exciting opportunities lie ahead as we continue to unravel the intricacies of enhancer function.
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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.