Cross-species prediction of histone modifications in plants via deep learning

Our findings demonstrate that phylogenetically informed model training significantly improves cross-species epigenomic prediction, offering a scalable computational strategy for functional annotation in non-model and agriculturally important plants.

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Publication Details

Journal
Genome biology
Published
2026-01-09
DOI
https://doi.org/10.1186/s13059-025-03929-4
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Cross-species prediction of histone modifications in plants via deep learning

Haoyu Chao, Yilin Li, Quan Han, Chen Liang et al.
Genome biology
Plant Molecular Biology Research
article

Cross-species prediction of histone modifications in plants via deep learning

Haoyu Chao, Yilin Li, Quan Han, Chen Liang, Zhonghao Ruan, Ming Chen, Tongxuan Lv, Dijun Chen
article en

Abstract

Our findings demonstrate that phylogenetically informed model training significantly improves cross-species epigenomic prediction, offering a scalable computational strategy for functional annotation in non-model and agriculturally important plants.

Genome biologyVol. 27(1)
China Pharmaceutical University (CN), Zhejiang University (CN), Nanjing University (CN)
Zero hunger
Openalex Percentile: Top 93%
Plant Molecular Biology Research
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Cross-species prediction of histone modifications in plants via deep learning — Haoyu Chao, Yilin Li, et al. · Genome biology (2026) | TGRS Research Map | TGRS