Machine learning analysis of the human initiator region reveals key features of different types of core promoters

Torrey E. Rhyne-Carrigg, Long Vo ngoc, Claudia Medrano, Kassidy E. Gillespie, James T. Kadonaga

Open source

DOI
10.1101/gad.353623.125
Published
2026-07-31
Container
Genes & Development
Publisher
Cold Spring Harbor Laboratory
Open access
unknown

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BibTeX

@article{allodium:10.1101/gad.353623.125,
  title = {Machine learning analysis of the human initiator region reveals key features of different types of core promoters},
  author = {Torrey E. Rhyne-Carrigg and Long Vo ngoc and Claudia Medrano and Kassidy E. Gillespie and James T. Kadonaga},
  year = {2026},
  journal = {Genes \& Development},
  doi = {10.1101/gad.353623.125},
  url = {https://doi.org/10.1101/gad.353623.125}
}

RIS

TY  - JOUR
TI  - Machine learning analysis of the human initiator region reveals key features of different types of core promoters
AU  - Torrey E. Rhyne-Carrigg
AU  - Long Vo ngoc
AU  - Claudia Medrano
AU  - Kassidy E. Gillespie
AU  - James T. Kadonaga
PY  - 2026
JO  - Genes & Development
DO  - 10.1101/gad.353623.125
UR  - https://doi.org/10.1101/gad.353623.125
ER  - 

APA

Rhyne-Carrigg, T. E., ngoc, L. V., Medrano, C., Gillespie, K. E., & Kadonaga, J. T. (2026). Machine learning analysis of the human initiator region reveals key features of different types of core promoters. Genes & Development. https://doi.org/10.1101/gad.353623.125

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