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Updated: Jun 4, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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通过贝叶斯张量分解的多路重叠集群

Zhuofan Wang1, Fangting Zhou1,2, Kejun He1

  • 1The Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing 100872, China.

Statistics and its interface
|December 23, 2024
PubMed
概括

这项研究引入了一种新的贝叶斯多向聚类方法,用于分析跨基因,组织和个体的复杂基因表达数据. 该方法在人类大脑中识别了与抑郁症相关的基因,为遗传变异提供了新的见解.

关键词:
贝叶斯的非参数先验.基因表达数据 基因表达数据印度自助餐的过程.低等级的张力器.混合模型的混合模型.初级 62H3030 的时间.二次性 62F1515 二次性的

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