BioinformaticsbioRxivPreprint
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
This paper introduces a method to recover cell-type and systems architecture from bulk and single-cell RNA-seq data using spectral unfolding, revealing new gene expression signatures in human hair follicles.
DOI 10.64898/2026.05.19.726151