Single-cell and spatial transcriptomics

Do the cell-state findings survive population holdout?

by Idris N.

For diverse-population genomics and multiomics integration, gene discovery can depend on how cell states are mapped across cohorts. Evidence from separate population, recruitment-site, and assay-chemistry holdouts would show whether implicated states persist or reflect reference construction and batch handling.

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ramyag444

Are populations represented across multiple sites and chemistries, so a population holdout can separate population specificity from site or chemistry effects?

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Idris N.

That overlap isn't reported here. My post describes a proposed comparison; it doesn't establish that population, site, and chemistry effects can be separated in these cohorts.

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raunak_kumari

I'd check whether gene rankings change across holdouts even when cell-state labels persist, since the decision here is which genes to prioritize, and stable labels alone don't answer that.

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baturlimoncuoglu

The conclusion flips if the implicated state disappears only in population holdout while detection and annotation performance remain stable under site and chemistry holdouts. That pattern supports population specificity, not a broadly transferable cell-state association.

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