Unsupervised machine learning reveals temporal components of gene expression in HeLa cells following release from cell cycle arrest
Tom Maimon, Yaron Trink, Jacob Goldberger, Tomer Kalisky C
This study uses unsupervised machine learning to identify temporal gene expression components in HeLa cells after cell cycle release, revealing oscillatory and transient patterns linked to cell cycle phases and cancer-related processes.
International Journal of Molecular Sciences · Sep 28, 2025Peer-reviewedGenomics