ArticleGenome biology2024
Associating transcription factors to single-cell trajectories with DREAMIT.
Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- A novel paradigm for single-cell annotation in stem cell research.Stem cell reports · 2025Review
- Uncovering latent biological function associations through gene set embeddings.BMC bioinformatics · 2025Article
- Associating transcription factors to single-cell trajectories with DREAMIT.Genome biology · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Inferring gene regulatory networks from single-cell RNA-sequencing trajectories has been an active area of research yet methods are still needed to identify regulators governing cell transitions. We developed DREAMIT (Dynamic Regulation of Expression Across Modules in Inferred Trajectories) to annotate transcription-factor activity along single-cell trajectory branches, using ensembles of relations to target genes. Using a benchmark representing several different tissues, as well as external validation with ATAC-Seq and Perturb-Seq data on hematopoietic cells, the method was found to have higher tissue-specific sensitivity and specificity over competing approaches.
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Registered trials
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