Author

N. de Leon

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

C. N. Hirsch· 2 shared N. M. Springer· 2 shared A. J. Lorenz· 1 shared A. Krishnan· 1 shared B. Alaca· 1 shared C. Palles· 1 shared C.-C. Pai· 1 shared D. C. Kadam· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersPlant Biology

C. N. Hirsch

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Author profile →

4 papers

Recent·Most cited

Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration

F. A. Gomez-Cano, J. Rodriguez, P. Zhou, Y.-H. Chu, E. L. Ellison, L. Gomez-Cano, A. Krishnan, N. M. Springer, N. de Leon, E. Grotewold

This paper develops a framework to prioritize maize metabolic gene regulators by integrating multi-omic data, identifying over 3,000 TFs and predicting new regulators of hormone, developmental, and metabolic processes.

bioRxiv · Feb 26, 2024 · PreprintPlant Biology

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

D. Kick, J. Wallace, J. C. Schnable, J. M. Kolkman, B. Alaca, T. M. Beissinger, D. Ertl, S. Flint-Garcia, J. L. Gage, C. N. Hirsch, J. E. Knoll, N. de Leon, D. C. Lima, D. Moreta, M. Singh, , J. D. Washburn

This study uses deep learning to predict maize yield by integrating genetic, environmental, and management data, finding that models incorporating interactions perform best.

bioRxiv · Jul 29, 2022Plant Biology

Expression of the cancer-associated DNA polymerase ϵ P286R in fission yeast leads to translesion synthesis polymerase dependent hypermutation and defective DNA replication

I. Soriano, E. Vazquez, N. de Leon, S. Betrand, E. Heitzer, S. Toumazou, C. Palles, C.-C. Pai, T. Humphrey, I. Tomlinson, S. Cotterill, S. Kearsey

This paper models the POLE-P286R mutation in fission yeast, showing it causes hypermutation, DNA replication defects, and dependence on translesion synthesis polymerases.

bioRxiv · Apr 6, 2021Cancer Biology

Characterizing allele-by-environment interactions using maize introgression lines

Z. Li, S. B. Tirado, D. C. Kadam, L. Coffey, N. D. Miller, E. P. Spalding, A. J. Lorenz, N. de Leon, S. M. Kaeppler, P. S. Schnable, N. M. Springer, C. N. Hirsch

This study examines how small genomic introgressions affect plant traits across different environments, finding significant allele-by-environment interactions in various growth stages.

bioRxiv · Aug 16, 2019 · PreprintPlant Biology