Article

<i>ctQC</i> improves biological inferences from single cell and spatial transcriptomics data

2024-05-28

Abstract excerpt

Quality control (QC) is the first critical step in single cell and spatial data analysis pipelines. QC is particularly important when analysing data from primary human samples, since genuine biological signals can be obscured by debris, perforated cells, cell doublets and ambient RNA released into the “soup” by cell lysis. Consequently, several QC methods for single cell data, employ fixed or data-driven quality t...

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Literature Corpus work: 830ce9f1-4b67-5b40-a7dc-b1132645f31f
DOI: 10.1101/2024.05.23.594978

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