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Shortcomings of silhouette in single-cell integration benchmarking

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Item Type:Article
Title:Shortcomings of silhouette in single-cell integration benchmarking
Creators Name:Rautenstrauch, Pia and Ohler, Uwe
Abstract:Single-cell studies rely on advanced integration methods for complex datasets affected by batch effects from technical factors alongside meaningful biological variation. Silhouette is an established metric for assessing unsupervised clustering results, comparing within-cluster cohesion to between-cluster separation. However, silhouette’s assumptions are typically violated in single-cell data integration scenarios. We demonstrate that silhouette-based metrics cannot reliably assess batch effect removal or biological signal conservation and propose more robust evaluation strategies.
Source:Nature Biotechnology
ISSN:1087-0156
Publisher:Nature Publishing Group
Date:30 July 2025
Official Publication:https://doi.org/10.1038/s41587-025-02743-4
PubMed:View item in PubMed

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