Author

N. Lepak

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

Biology Disciplines

Click to filter author papers

Plant Biology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 3 Approach:deep learning· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

E. S. Buckler· 3 shared A. D. Kent· 1 shared A. J. Haffke· 1 shared A. J. Schulz· 1 shared A. M. Thompson· 1 shared A. Nguyen· 1 shared B. D. Emmett· 1 shared C. M. Wai· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersPlant Biology

E. S. Buckler

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Contrasting Rhizosphere Nitrogen Dynamics in Andropogoneae Grasses: Implications for Sustainable Agriculture

S.-K. Hsu, B. D. Emmett, A. J. Haffke, G. Costa-Neto, A. J. Schulz, N. Lepak, T. La, T. M. AuBuchon-Elder, C. O. Hale, S. S. Raglin, J. O. Ojeda-Rivera, A. D. Kent, E. A. Kellogg, M. C. Romay, E. S. Buckler

The paper examines nitrogen dynamics in Andropogoneae grasses, finding annual species conserve nitrogen while perennials vary in their impact on nitrification and nitrate loss.

bioRxiv · Jun 3, 2024 · PreprintPlant Biology

Cross-species predictive modeling reveals conserved drought responses between maize and sorghum

J. Pardo, C. M. Wai, M. Harman, A. Nguyen, K. A. Kremling, C. Romay, N. Lepak, T. L. Bauerle, E. S. Buckler, A. M. Thompson, R. VanBuren

This paper develops a predictive model to identify drought responses in sorghum and applies it to maize, finding conserved drought response genes across species.

bioRxiv · Sep 26, 2022Plant Biology

In-field whole plant maize architecture characterized by Latent Space Phenotyping

J. L. Gage, E. Richards, N. Lepak, N. Kaczmar, C. Soman, G. Chowdhary, M. A. Gore, E. S. Buckler

This study uses LiDar and Latent Space Phenotyping to extract quantitative plant architecture traits from maize fields, showing heritability and predictive power for breeding and research.

bioRxiv · Sep 10, 2019Plant Biology