Taylor Ferebee

PhD Candidate | Computational Biology

Exploring the utility of regulatory network-based machine learning for gene expression prediction in maize


Journal article


Taylor H. Ferebee, Edward S. Buckler
bioRxiv, 2023 May 14


Cite

Cite

APA   Click to copy
Ferebee, T. H., & Buckler, E. S. (2023). Exploring the utility of regulatory network-based machine learning for gene expression prediction in maize. BioRxiv. https://doi.org/10.1101/2023.05.11.540406


Chicago/Turabian   Click to copy
Ferebee, Taylor H., and Edward S. Buckler. “Exploring the Utility of Regulatory Network-Based Machine Learning for Gene Expression Prediction in Maize.” bioRxiv (May 14, 2023).


MLA   Click to copy
Ferebee, Taylor H., and Edward S. Buckler. “Exploring the Utility of Regulatory Network-Based Machine Learning for Gene Expression Prediction in Maize.” BioRxiv, May 2023, doi:10.1101/2023.05.11.540406.


BibTeX   Click to copy

@article{taylor2023a,
  title = {Exploring the utility of regulatory network-based machine learning for gene expression prediction in maize},
  year = {2023},
  month = may,
  day = {14},
  journal = {bioRxiv},
  doi = {10.1101/2023.05.11.540406},
  author = {Ferebee, Taylor H. and Buckler, Edward S.},
  month_numeric = {5}
}


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