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Updated: Jun 7, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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具有高维基基因表达轨迹的依赖高斯过程的动态因子分析

Jiachen Cai1, Robert J B Goudie1, Colin Starr1

  • 1MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, United Kingdom.

Biometrics
|November 18, 2024
PubMed
概括

这项研究引入了一种新的贝叶斯方法,使用依赖的高斯过程来分析基因表达路径. 该方法准确地建模了通路相关性,并改善了精准医学中的基因表达预测.

关键词:
蒙特卡洛预期最大化最大化依赖的高斯过程.高维生物标志物表达轨迹的轨迹多变量纵向数据多变量纵向数据路径 路径 路径稀少的因素分析.

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