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Molecular Breeding : New Strategies in Plant Improvement|June 13, 2023
In silico integration of disease resistance QTL, genes and markers with the <i>Brassica juncea</i> physical mapFabian Inturrisi, Philipp E Bayer, Aldrin Y Cantila, et al.The Plant Genome|July 21, 2021
The application of pangenomics and machine learning in genomic selection in plantsPhilipp E Bayer, Jakob Petereit, Monica Furaste Danilevicz, et al.Nature Communications|January 24, 2025
Application of machine learning and genomics for orphan crop improvementTessa R MacNish, Monica F Danilevicz, Philipp E Bayer, et al.Methods in Molecular Biology (Clifton, N.J.)|January 2, 2020
Method for Genome-Wide Association Study: A Soybean ExampleRobyn Anderson, Cassandria Tay Fernandez, Yuxuan Yuan, et al.Plant Biotechnology Journal|June 27, 2025
Understanding plant phenotypes in crop breeding through explainable AIMonica F Danilevicz, Shriprabha R Upadhyaya, Jacqueline Batley, et al.Methods in Molecular Biology (Clifton, N.J.)|December 10, 2020
High-Throughput Genotyping Technologies in Plant TaxonomyMonica F Danilevicz, Cassandria G Tay Fernandez, Jacob I Marsh, et al.Genetica|October 10, 2023
Approaches to increase the validity of gene family identification using manual homology search toolsBenjamin J Nestor, Philipp E Bayer, Cassandria G Tay Fernandez, et al.The Plant Genome|August 21, 2023
The conservation of gene models can support genome annotationCassandria G Tay Fernandez, Philipp E Bayer, Jakob Petereit, et al.Plant Biotechnology Journal|September 20, 2018
Variation in abundance of predicted resistance genes in the Brassica oleracea pangenomePhilipp E Bayer, Agnieszka A Golicz, Soodeh Tirnaz, et al.Frontiers in Genetics|June 6, 2022
Plant Genotype to Phenotype Prediction Using Machine LearningMonica F Danilevicz, Mitchell Gill, Robyn Anderson, et al.Pageof 70