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scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching - Nature Biotechnology

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scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching - Nature Biotechnology

Single-cell RNA sequencing has been instrumental in uncovering cellular spatiotemporal context. This task is challenging as cells simultaneously encode multiple, potentially cross-interfering, biological signals. Here we propose scPrisma, a spectral computational method that uses topological priors to decouple, enhance and filter different classes of biological processes in single-cell data, such as periodic and linear signals.

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scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching - Nature Biotechnology

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scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching - Nature Biotechnology

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