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Updated: Jul 28, 2025

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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在Klebsiella aerogenes中通过使用支向量机器计算识别促进体

Yan Lin1, Meili Sun2, Junjie Zhang1

  • 1Key Laboratory for Animal Disease-Resistance Nutrition of the Ministry of Agriculture, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.

Frontiers in microbiology
|May 30, 2023
PubMed
概括

这项研究开发了一种机器学习模型,以准确预测Klebsiella气原体中的基因促进体,帮助基因调节研究. 该模型实现了96.0%的准确性,改善了我们对基因表达的理解.

关键词:
功能选择 功能选择位置相关性得分函数的位置相关性得分函数活动主办人 活动主办人伪k-双核酸组合的组成.支持矢量机器的支持矢量机器

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