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Updated: Jul 18, 2025

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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从序列中预测调节元素的预测准确性因功能测序技术而异

Ronald J Nowling1, Kimani Njoya2, John G Peters1

  • 1Electrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, WI, United States.

Frontiers in cellular and infection microbiology
|August 21, 2023
PubMed
概括

机器学习模型使用DNA序列预测cis-regulatory元素. 与ChIP-seq方法不同,DNase-seq和STARR-seq数据准确地预测了监管活动,突出了基于序列的预测潜力.

关键词:
在 ChIP-seqq.在DNase-seqq中使用DNase.在STARR-seqq.增强剂是一种增强剂.功能测序的功能测序机器学习是机器学习.序列模型的模型.

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