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Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cells

2026-07-26

Abstract excerpt

Mouse single-cell ageing studies provide experimentally controlled age contrasts, but using mouse-labelled data to annotate human ageing states is limited by species, donor and assay effects in sparse transcriptomic and chromatin profiles. We developed a cross-species annotation workflow that treats mouse-to-human prediction as a target-validated domain-adaptation problem. The workflow uses orthologue-aligned feat...

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Literature Corpus work
42968716-c4e5-5fad-906d-42a805378ba7
DOI
10.64898/2026.07.24.730582
Open publication

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Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cellsDOI 10.64898/2026.07.24.730582
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