HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference
- DOI
- 10.3389/fgene.2026.1895515
- Published
- 2026-09-04
- Container
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fgene.2026.1895515,
title = {HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference},
author = {Mingqing Huang and Shun Guo and Fengze Jiang and Yingnan Xiong and Xu Chen},
year = {2026},
journal = {Frontiers in Genetics},
doi = {10.3389/fgene.2026.1895515},
url = {https://doi.org/10.3389/fgene.2026.1895515}
}RIS
TY - JOUR TI - HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference AU - Mingqing Huang AU - Shun Guo AU - Fengze Jiang AU - Yingnan Xiong AU - Xu Chen PY - 2026 JO - Frontiers in Genetics DO - 10.3389/fgene.2026.1895515 UR - https://doi.org/10.3389/fgene.2026.1895515 ER -
APA
Huang, M., Guo, S., Jiang, F., Xiong, Y., & Chen, X. (2026). HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference. Frontiers in Genetics. https://doi.org/10.3389/fgene.2026.1895515
Source records
- crossref · retrieved 2026-09-25T11:31:28.430Z