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Updated: Jan 11, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

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一个图形神经网络模型,用于从实验生物数据中推断个体间的变化.

Fuminori Kawano1

  • 1Graduate School of Health Science, Matsumoto University, 2095-1 Niimura, Matsumoto City, Nagano, 390-1295, Japan. kawano@t.matsu.ac.jp.

Scientific reports
|November 12, 2025
PubMed
概括

我们开发了一种图形神经网络 (GNN) 模型,以揭示隐藏的生物学关系,驱动对刺激反应的个体差异. 这种计算工具在实验数据中识别出独特的分子路径,推动了个性化医学研究.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.个体间的变化机器学习是机器学习.

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