Unsupervised machine-learning identifies latent pyrenoid states linked to mitotic remodeling defects and CO2-dependent growth
Koujiro Matsuo, Takashi Yamano
The paper uses unsupervised machine learning to identify pyrenoid morphology mutants in Chlamydomonas reinhardtii, linking defects to CO2-dependent growth and mitotic remodeling.
bioRxiv · Aug 26, 2026 · PreprintCell Biology