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Updated: Feb 15, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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一个新的多目标优化框架使用NSGA-II用于基因共表达网络推断

Behnam Aghajan1, Mohammad Reza Ghaemi1, Ali M Mosammam2

  • 1Department of Mathematics. Faculty of Sciences, University of Zanjan, Zanjan, Iran.

Computational biology and chemistry
|February 13, 2026
PubMed
概括

我们使用非主导排序基因算法II (NSGA-II) 开发了一种新的多目标优化方法,以改进基因共表达网络 (GCN). 这种方法提高了网络可靠性和转录基因数据分析的生物相关性.

关键词:
阿拉克尼 (Aracne) 是一个城市.基因共同表达网络是基因的共同表达网络.多目标优化多目标优化在NSGA-II中,NSGA-II是最重要的.在WGCNA中,WGCNA是WGCNA.

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