Metacell projection for interpretable and quantitative use of transcriptional atlases

Ben-Kiki, O.; Bercovich, A.; Lifshitz, A.; Tanay, A.

doi:10.1101/2022.12.01.518678

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bioRxiv · 10.1101/2022.12.01.518678

Metacell projection for interpretable and quantitative use of transcriptional atlases

Ben-Kiki, O.·Bercovich, A.·Lifshitz, A.·Tanay, A.

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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 consisting of annotated metacell gene expression distributions. We then infer 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 existing atlas states from novel or artifactual behaviors that are not observed in the atlas. It also identifies significant expression differences observed in query states that are mapped coherently onto the atlas. We showcase MCProj functionality by analyzing blood gene expression from multiple sources and technologies, suggesting it as a method of choice for scRNA-seq analysis following extensive cell atlas projects.

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Ben-Kiki, O., Bercovich, A., Lifshitz, A., Tanay, A.. 2022-12-02. Metacell projection for interpretable and quantitative use of transcriptional atlases. https://doi.org/10.1101/2022.12.01.518678

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