Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain
Ryokei Tanaka, Di Wu, Xiaowei Li, Laura E. Tibbs‐Cortes, Joshua C. Wood, Maria Magallanes‐Lundback, Nolan Bornowski, John P. Hamilton, Brieanne Vaillancourt, Xianran Li, Nicholas Deason, Gregory R. Schoenbaum, C. Robin Buell, Dean DellaPenna, Jianming Yu, Michael A. Gore
This study evaluates prediction models for tocochromanol content in maize grain using genomic and transcriptomic data, finding that incorporating biological knowledge improves predictive ability.
The Plant Genome · Nov 2, 2022Peer-reviewedGenetics