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Decoding the building blocks of cellular processes from single-cell transcriptomics data

Most features of a cell are determined by gene programs — sets of co-expressed genes that execute a specific function. By incorporating existing knowledge about gene programs and cell types, the Spectra factor analysis method improves how we decode single-cell transcriptomic data and offers insights into challenging tumor immune contexts.

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Fig. 1: Spectra discovers gene programs guided by previous gene sets and cell type labels.


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This is a summary of: Kunes, R. Z. et al. Supervised discovery of interpretable gene programs from single-cell data. Nat. Biotechnol. (2023).

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Decoding the building blocks of cellular processes from single-cell transcriptomics data. Nat Biotechnol (2023).

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