ArticleNature communications2026
Fast, flexible analysis of differences in cellular composition with crumblr.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Reduced LACTB expression in myeloid cells is associated with elevated succinylcarnitine and reduced Alzheimer's disease risk.Research square · 2026Article
- Single-cell spatial transcriptomic analysis of human skin anatomy.Nature genetics · 2026Article
- Mucosal Inflammation Shapes Human Neutrophil States in Tissue and Circulation.bioRxiv : the preprint server for biology · 2026Article
- Transcriptomic diversity of amygdalar subdivisions across humans and nonhuman primates.Science advances · 2025Article
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Abstract
Changes in cell type composition play an important role in human health and disease. Recent advances in single-cell technology have enabled the measurement of cell type composition at increasing cell lineage resolution across large cohorts of individuals. Yet this raises new challenges for statistical analysis of these compositional data to identify changes in cell type frequency. We introduce crumblr ( DiseaseNeurogenomics.github.io/crumblr ), a scalable statistical method for analyzing count ratio data using precision-weighted linear mixed models incorporating random effects for complex study designs. Uniquely, crumblr performs statistical testing at multiple levels of the cell lineage hierarchy using a multivariate approach to increase power over tests of one cell type. In simulations, crumblr increases power compared to existing methods while controlling the false positive rate. We demonstrate the application of crumblr to published single-cell RNA-seq datasets for aging, tuberculosis infection in T cells, bone metastases from prostate cancer, and SARS-CoV-2 infection.
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