Robust predictions of specialized metabolism genes through machine learning
B. M. Moore, P. Wang, P. Fan, B. Leong, C. A. Schenck, J. P. Lloyd, M. Lehti-Shiu, R. Last, E. Pichersky, S.-H. Shiu
The paper develops a machine learning model to predict specialized metabolism genes in Arabidopsis thaliana by integrating multiple genomic features, achieving high accuracy in identification.
Proceedings of the National Academy of Sciences · Jan 23, 2019Peer-reviewedPlant Biology