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To evaluate computational models, we rely on trusted benchmark data and metrics So what if a metrics is widely used… but plain wrong? It means that evaluations in dozens of papers are meaningless. This has happened in single cell genomics… (1/)
10mo
Uwe Ohler
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
10mo
go.nature.com
Silhouette score is unsuitable as a metric for single-cell data integration.
Shortcomings of silhouette in single-cell integration benchmarking - Nature Biotechnology
Nature Biotechnology