Machine learning analysis of the human initiator region reveals key features of different types of core promoters
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T13:12:48.619Z