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Benchmarking ambient RNA removal across droplet and well-plate platforms reveals artificial count generation as a critical failure mode of scAR and CellClear

2026-04-10

Abstract excerpt

<h4>Background</h4> Ambient RNA contamination is a pervasive artifact of single-cell and single-nucleus RNA sequencing (sxRNA-seq), yet no consensus exists on which computational removal tool performs best across experimental platforms. <h4>Results</h4> We present a systematic benchmark of six tools: CellBender, DecontX, SoupX, scCDC, scAR, and CellClear - evaluated across six human-mouse cell line mixing (hgmm)...

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Literature Corpus work
56edc974-9a6c-5d1b-9424-c35ae5a42844
DOI
10.64898/2026.04.08.717130
Open publication

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Benchmarking ambient RNA removal across droplet and well-plate platforms reveals artificial count generation as a critical failure mode of scAR and CellClearDOI 10.64898/2026.04.08.717130
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