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What Knowledge Can Be Extracted from Single-Cell Data? An Empirical Analysis of Donor-Robust Cell-Type Annotation

2026-07-24

Abstract excerpt

<title>Abstract</title> <p>A classifier can label single cells accurately while learning study-specific or person-specific signals. We tested how much this concern matters for a narrow, common task: annotation of abundant pancreatic cell types within one single-cell RNA-sequencing study. We reanalyzed 8,569 human pancreatic cells from four donors and retained six labels with at least 20 cells in every donor, givi...

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Literature Corpus work
45922d3f-d226-508a-9bfb-b10cd71226c2
DOI
10.21203/rs.3.rs-10461189/v1
Open publication

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What Knowledge Can Be Extracted from Single-Cell Data? An Empirical Analysis of Donor-Robust Cell-Type AnnotationDOI 10.21203/rs.3.rs-10461189/v1
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