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bioRxiv · 10.1101/2023.06.28.546949

Quantitative assessment of single-cell RNA-seq clustering with CONCORDEX

Jackson, K. C.·Booeshaghi, A. S.·Galvez-Merchan, A.·Moses, L.·Chari, T.·Pachter, L.
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Abstract

The rapid advancement of spatially resolved transcriptomics (SRT) technologies has facilitated exploration of how gene expression varies across tissues. However, identifying spatially variable genes remains challenging due to confounding variation introduced by the spatial distribution of cell types. We introduce a new approach to identifying spatial domains that are homogeneous with respect to cell-type composition that facilitates the decomposition of gene expression patterns by cell-type and spatial variation. Our method, called concordex, is efficient and effective across technological platforms and tissue types, and using several biological datasets we show that it can be used to identify genes with subtle variation patterns that are missed when considering only cell-type variation, or spatial variation, alone. The con-cordex tool is freely available at https://github.com/pachterlab/concordexR.

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Jackson, K. C., Booeshaghi, A. S., Galvez-Merchan, A., Moses, L., Chari, T., Pachter, L.. 2023-06-30. Quantitative assessment of single-cell RNA-seq clustering with CONCORDEX. https://doi.org/10.1101/2023.06.28.546949

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