Prediction of Cell States and Key Transcription Factors of the Human Cornea through Integrated Single-Cell Omics Analyses
Julian A. Arts, Sofia Fallo, Melanie S. Florencio, Jos G.A. Smits, Dulce Lima Cunha, Janou A. Y. Roubroeks, Mor M. Dickman, Vanessa L.S. LaPointe, Rosemary Yu, Huiqing Zhou
This paper integrates single-cell RNA-seq data to create a human corneal cell state meta-atlas and develops a machine learning tool to annotate cell states and identify key transcription factors.
PNAS Nexus · Jul 29, 2025Peer-reviewedCell Biology