ArticleGenome biology2023
MCProj: metacell projection for interpretable and quantitative use of transcriptional atlases.
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 4 papers.
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Who cites it
4 citing papers in PubMed.
- Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- IceQream: Quantitative chromosome accessibility analysis using physical TF models.Nature communications · 2025Article
- A reference model of circulating hematopoietic stem cells across the lifespan with applications to diagnostics.Nature medicine · 2025Article
- Building and analyzing metacells in single-cell genomics data.Molecular systems biology · 2024Review
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Authors and funding
6 authors.
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Abstract
We describe MCProj-an algorithm for analyzing query scRNA-seq data by projections over reference single-cell atlases. We represent the reference as a manifold of annotated metacell gene expression distributions. We then interpret query metacells as mixtures of atlas distributions while correcting for technology-specific gene biases. This approach distinguishes and tags query cells that are consistent with atlas states from unobserved (novel or artifactual) behaviors. It also identifies expression differences observed in successfully mapped query states. We showcase MCProj functionality by projecting scRNA-seq data on a blood cell atlas, deriving precise, quantitative, and interpretable results across technologies and datasets.
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