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Updated: Jan 17, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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聚类对计数数据的统计意义

Yifan Dai1, Di Wu1,2, Yufeng Liu3

  • 1Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Biometrics
|September 19, 2025
PubMed
概括

我们介绍了SigClust-DEV,这是一种用于评估计数数据中的集群意义的新方法,其性能优于现有的方法. 该工具通过解决统计不确定性来增强基因组学和医疗保健数据中的子组识别.

关键词:
集群的重要性集群意义缩小尺寸缩小尺寸的方法电子健康记录是电子医疗记录.一般化主要组件分析分析.一个单细胞RNA测序数据.

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