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Benchmarking differential abundance methods for finding condition-specific prototypical cells in multi-sample single-cell datasets

2023-02-27

Abstract excerpt

Modern single-cell data analysis relies on statistical testing (e.g. differential expression testing) to identify genes or proteins that are up-or down-regulated in relation to cell-types or clinical outcomes. However, existing algorithms for such statistical testing are often limited by technical noise and cellular heterogeneity, which lead to false-positive results. To constrain the analysis to a compact and phe...

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Literature Corpus work
07cd298c-e96c-5cf8-81dc-96d926db9075
DOI
10.1101/2023.02.24.529894
Open publication

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Benchmarking differential abundance methods for finding condition-specific prototypical cells in multi-sample single-cell datasetsDOI 10.1101/2023.02.24.529894
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