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Updated: Sep 12, 2025

ATAC-Seq Optimization for Cancer Epigenetics Research
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使用机器学习,snATAC-Express从优先级染色体可访问性峰值推断出基因表达

Margaret Brown1, Alessandro Ferrari1, Anne Dodd2

  • 1Center for Integrative Genomics and School of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.

bioRxiv : the preprint server for biology
|August 8, 2025
PubMed
概括

本研究介绍了snATAC-Express,这是一个用于分析单细胞多组数据的机器学习管道. 它使用染色体可访问性来建模基因表达,识别与炎症性肠病和狼相关的关键调节区域.

关键词:
在GWAS的缩过程中,GWAS的缩基因调节 基因调节染色质可访问性 染色质可访问性机器学习是机器学习.多种主题的多种主题.

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