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Updated: May 21, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Published on: January 16, 2019

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一个增强的微状态集群算法,基于树冠,K-means和基因模拟化

Jingting Liang1, Xiangguo Yin1, Mingxing Lin1

  • 1Shandong University, Shandong University, Jinan, Shandong, 250061, China, Jinan, Shandong, 250100, CHINA.

Biomedical physics & engineering express
|May 19, 2025
PubMed
概括

一个新的Canopy-KM-GSA算法改进了电脑电图 (EEG) 微态分析,以了解大脑活动. 与传统算法相比,这种先进的方法为神经机制提供了更准确的洞察力.

关键词:
电脑电磁波微状态集群的集群.基因模拟化化 基因模拟K-意味着集群算法算法.

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