| The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize X Sun, Y Xiang, N Dou, H Zhang, S Pei, AV Franco, M Menon, B Monier, ... Nature Biotechnology 41 (1), 120-127, 2023 | 43 | 2023 |
| Elucidating the patterns of pleiotropy and its biological relevance in maize M Khaipho-Burch, T Ferebee, A Giri, G Ramstein, B Monier, E Yi, ... PLoS Genetics 19 (3), e1010664, 2023 | 3 | 2023 |
| Exploring the utility of regulatory network-based machine learning for gene expression prediction in maize TH Ferebee, ES Buckler bioRxiv, 2023.05. 11.540406, 2023 | 2 | 2023 |
| Current genomic deep learning architectures generalize across grass species but not alleles T Wrightsman, TH Ferebee, MC Romay, AS Seetharam, ... bioRxiv, 2024.04. 11.589024, 2024 | 1 | 2024 |
| Fishing for a reelGene: evaluating gene models with evolution and machine learning AJ Schulz, J Zhai, T AuBuchon-Elder, M El-Walid, TH Ferebee, ... bioRxiv, 2023.09. 19.558246, 2023 | 1 | 2023 |
| Learning Regulatory Contributions to Gene Expression Variation in Grasses TH Ferebee Cornell University, 2024 | | 2024 |
| Ten simple rules for creating a global network in computational biology JI Adams, T Ferebee, M Minto, KK Pennerman, N Chambwe PLOS Computational Biology 18 (10), e1010528, 2022 | | 2022 |
| Changing from Genes to Cleats: An Overview of Sports Genomics' Future in Analytics T Ferebee | | 2019 |
