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Updated: May 27, 2025

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基于原则的PCA将信号与噪声分开,在omics中计数数据

Jay S Stanley1, Junchen Yang2, Ruiqi Li2

  • 1Program in Applied Mathematics, Yale University, New Haven, CT, USA.

bioRxiv : the preprint server for biology
|February 20, 2025
PubMed
概括

双白化PCA (BiPCA) 为分析omics数据提供了一个强大的框架. 这种方法通过适应性地调整计数数据来改善生物信号解释和数据无声化,克服了传统主要组件分析 (PCA) 的局限性.

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