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Spectral Prompting: Unsupervised Recovery of Human Hair Follicle Cell-Type and Multiscale Systems Architecture from Bulk and Single-Cell RNA-Seq Datasets via Single-Gene Seeded Spectral Unfolding

2026-05-21

Abstract excerpt

Bulk RNA sequencing datasets are assumed to carry minimal resolvable programmatic and cell type biological information; as such, in the absence of single-cell resolution, researchers prioritise data analysis approaches based on differential expression, or rely on deconvolution and co-expression methods that require external reference panels, large multi-sample cohorts, or prior single-cell data to resolve cell-typ...

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Literature Corpus work: 7078b39e-9e73-53f3-8635-b5c67382fdcd
DOI: 10.64898/2026.05.19.726151

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Spectral Prompting: Unsupervised Recovery of Human Hair Follicle Cell-Type and Multiscale Systems Architecture from Bulk and Single-Cell RNA-Seq Datasets via Single-Gene Seeded Spectral UnfoldingDOI 10.64898/2026.05.19.726151Read

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