The conversion of biological molecules into digital signals through sequencing is a complex process that often generates substantial systematic background noise. This noise can obscure important biological insights. However, by precisely identifying and removing this noise, we can bring the true signal into focus and eliminate misleading results from downstream analyses.
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This is a summary of: Fleming, S. J. et al. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender. Nat. Methods https://doi.org/10.1038/s41592-023-01943-7 (2023).
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CellBender removes technical artifacts from single-cell RNA sequencing data. Nat Methods 20, 1285–1286 (2023). https://doi.org/10.1038/s41592-023-01946-4
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DOI: https://doi.org/10.1038/s41592-023-01946-4
