Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.

Saito T, Wang S, Ohkawa K, Ohara H, Kondo S

DOI: 10.1093/treephys/tpae072
Published: 2024 Jul 2
Container: Tree physiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/treephys/tpae072,
  title = {Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.},
  author = {Saito T and Wang S and Ohkawa K and Ohara H and Kondo S},
  year = {2024},
  journal = {Tree physiology},
  doi = {10.1093/treephys/tpae072},
  url = {https://doi.org/10.1093/treephys/tpae072}
}

RIS

TY  - JOUR
TI  - Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.
AU  - Saito T
AU  - Wang S
AU  - Ohkawa K
AU  - Ohara H
AU  - Kondo S
PY  - 2024
JO  - Tree physiology
DO  - 10.1093/treephys/tpae072
UR  - https://doi.org/10.1093/treephys/tpae072
ER  -

APA

T, S., S, W., K, O., H, O., & S, K. (2024). Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.. Tree physiology. https://doi.org/10.1093/treephys/tpae072

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pubmed · retrieved 2026-09-27T13:58:13.549Z