ArticleNature communications2021
scCODA is a Bayesian model for compositional single-cell data analysis.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers, 1 of them a synthesis that pooled it.
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Who cites it
254 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A multi-dataset single-cell meta-analysis of human keloid skin across Asian, Black and White populations reveals endothelial and mesenchymal programs linked to ethnic disparities.Frontiers in medicine · 2026Pooled it
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- Single nucleus RNA sequencing identifies PLXNA4 upregulation in end-stage arrhythmogenic right ventricular cardiomyopathy.iScience · 2026Article
- Single-Cell Mapping Identifies Aging-Associated Neutrophil Remodeling Across Multiple Organs.Aging cell · 2026Article
- Machine learning and computational approaches to model therapeutic response and resistance in diffuse midline glioma.Journal of neuro-oncology · 2026Review
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- Fast, flexible analysis of differences in cellular composition with crumblr.Nature communications · 2026Article
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- Single-cell transcriptomics of human brain disorders.Molecular psychiatry · 2026Review
- The critical role of the endogenous immune compartment after CAR T cell therapy in recurrent GBM.Cell · 2026Article
- TTNCell reports · 2026Article
- Transcriptomic analysis of spinal V1 interneurons informs their multifunctional role in motor output.Nature communications · 2026Article
- Single-cell transcriptomics uncovers endothelial progenitor-like remodelling driving human coronary atherosclerosis progression.Nature cell biology · 2026Article
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- Evolution of compound eye cell types shapes visual behaviors acrossbioRxiv : the preprint server for biology · 2026Article
- Dysregulated differentiation kinetics underlie the essential role of DNA damage repair in placental development.Nature communications · 2026Article
- Analytical Methods and Application of Single-Cell and Single-Nucleus Transcriptomics in the Study of Ischemic Stroke.Biomolecules · 2026Review
194 more citing papers are in PubMed but not listed here.
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compositional changes of cell types are main drivers of biological processes. Their detection through single-cell experiments is difficult due to the compositionality of the data and low sample sizes. We introduce scCODA ( https://github.com/theislab/scCODA ), a Bayesian model addressing these issues enabling the study of complex cell type effects in disease, and other stimuli. scCODA demonstrated excellent detection performance, while reliably controlling for false discoveries, and identified experimentally verified cell type changes that were missed in original analyses.
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