Plant BiologyThe Plant CellPeer-reviewed
Successful Predictive Modeling of Pollen Fitness Phenotypes Is Enabled by Measures of Expression Specificity
Sebastian A.F. Mueller, Zuzana Vejlupkova, Molly S. Megraw, John E. Fowler
The paper develops a machine learning framework to predict maize pollen fitness phenotypes using genomic and expression data, finding that expression specificity is a critical feature for accurate predictions.
DOI 10.1093/plcell/koag272