Identification of genes involved in Kranz anatomy evolution of non-model grasses using unsupervised machine learning
S. Prochetto, G. Stegmayer, A. Studer, R. Reinheimer
The paper uses unsupervised machine learning to identify genes associated with Kranz anatomy evolution in grasses by analyzing gene expression and anatomical traits.
bioRxiv · Jan 31, 2024Plant Biology