Machine learning-predicted chromatin organization landscape across pediatric tumors
- DOI
- 10.1038/s41598-026-44925-3
- Published
- 2026-03-28
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-44925-3,
title = {Machine learning-predicted chromatin organization landscape across pediatric tumors},
author = {Ketrin Gjoni and Shu Zhang and Rachel E. Yan and Bo Zhang and Daniel Miller and Jeffrey P. Greenfield and Adam Resnick and Nadia Dahmane and Katherine S. Pollard},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-44925-3},
url = {https://doi.org/10.1038/s41598-026-44925-3}
}RIS
TY - JOUR TI - Machine learning-predicted chromatin organization landscape across pediatric tumors AU - Ketrin Gjoni AU - Shu Zhang AU - Rachel E. Yan AU - Bo Zhang AU - Daniel Miller AU - Jeffrey P. Greenfield AU - Adam Resnick AU - Nadia Dahmane AU - Katherine S. Pollard PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-44925-3 UR - https://doi.org/10.1038/s41598-026-44925-3 ER -
APA
Gjoni, K., Zhang, S., Yan, R. E., Zhang, B., Miller, D., Greenfield, J. P., Resnick, A., Dahmane, N., & Pollard, K. S. (2026). Machine learning-predicted chromatin organization landscape across pediatric tumors. Scientific Reports. https://doi.org/10.1038/s41598-026-44925-3
Source records
- crossref · retrieved 2026-09-26T04:22:15.716Z