Article

A simple strategy for sample annotation error detection in cytometry datasets

2021-10-28

Abstract excerpt

<h4>ABSTRACT</h4> Mislabeling samples or data with the wrong participant information can impact study integrity and lead investigators to draw inaccurate conclusions. Quality control to prevent these types of errors is commonly embedded into the analysis of genomic datasets, but a similar identification strategy is not standard for cytometric data. Here, we present a method for detecting sample identification err...

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Literature Corpus work: 7f14b6a9-fb01-5507-801f-782b2e6207eb
DOI: 10.1101/2021.10.26.465993

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