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使用高斯混合模型进行计算高效的多样本流细胞计数据分析

Philip Rutten1,2,3, Tim R Mocking4,5, Jacqueline Cloos4,5

  • 1Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. p.rutten@amsterdamumc.nl.

BMC bioinformatics
|October 23, 2025
PubMed
概括

本研究介绍了一种计算效率高的多样本高斯混合模型 (MSGMM) 用于流细胞计 (FCM) 数据. MSGMMs能够对大型FCM数据集进行可扩展分析,改善罕见细胞检测和样本分类.

关键词:
分类 分类 分类 分类.集群集成是指集群集成.在EM算法中,EM算法流动细胞计量流动细胞计量高斯混合模型的高斯混合模型.大规模数据的大规模数据.

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Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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