ArticleGenome biology2023
DCATS: differential composition analysis for flexible single-cell experimental designs.
Article in Genome biology, 2023. 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.
- Integration of polygenic risk with single cell methylation data using met-scDRS.Bioinformatics (Oxford, England) · 2026Article
- A comparative brain atlas in the Mexican cavefish identifies widespread changes in cellular composition and gene expression.bioRxiv : the preprint server for biology · 2026Article
- The impact of sex on the immune system explored at the single-cell level.American journal of human genetics · 2026Article
- Article
- Dictionary of human intestinal organoid responses to secreted niche factors at single cell resolution.Nature communications · 2026Article
- Assessing differential cell composition in single-cell studies using voomCLR.Bioinformatics (Oxford, England) · 2026Article
- Single-nucleus transcriptomics of spinal ependymoma subtypes recognizes intratumoral heterogeneity.Neuro-oncology · 2026Article
- Dissecting Gene Regulatory Networks Governing Human Cortical Cell Fate.bioRxiv : the preprint server for biology · 2025Article
- The spatial landscape of glial pathology and T cell response in Parkinson's disease substantia nigra.Nature communications · 2025Article
- Mapping the peripheral immune landscape of Parkinson's disease patients with single-cell sequencing.Brain : a journal of neurology · 2025Article
- Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism.Nature communications · 2025Article
- RFC1 regulates the expansion of neural progenitors in the developing zebrafish cerebellum.Nature communications · 2025Article
- Tbx1 haploinsufficiency leads to local skull deformity, paraflocculus and flocculus dysplasia, and motor-learning deficit in 22q11.2 deletion syndrome.Nature communications · 2024Article
- Single-cell RNA sequencing of pediatric Hodgkin lymphoma to study the inhibition of T cell subtypes.HemaSphere · 2024Article
- PD-L1 regulates inflammatory programs of macrophages from human pluripotent stem cells.Life science alliance · 2024Article
- DCATS: differential composition analysis for flexible single-cell experimental designs.Genome biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Differential composition analysis - the identification of cell types that have statistically significant changes in abundance between multiple experimental conditions - is one of the most common tasks in single cell omic data analysis. However, it remains challenging to perform differential composition analysis in the presence of flexible experimental designs and uncertainty in cell type assignment. Here, we introduce a statistical model and an open source R package, DCATS, for differential composition analysis based on a beta-binomial regression framework that addresses these challenges. Our empirical evaluation shows that DCATS consistently maintains high sensitivity and specificity compared to state-of-the-art methods.
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.