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惊喜分析:一种开源软件,用于基因表达的信息理论分析

Annice Najafi¹

¹Department of Industrial and Manufacturing Engineering, California State Polytechnic University Pomona, Pomona, CA 91768, United States.

Bioinformatics advances

|December 18, 2025

概括

惊喜分析通过用热力学术语定义基因表达来确定基因调节模式. 这个R包和Web应用程序有助于揭示生物模块的驱动系统动力学.

科学领域:

生物信息学是一种生物信息学.
计算生物学计算生物学
系统生物学系统生物学

背景情况:

基因表达分析对于理解生物过程至关重要.
确定协调的基因调节模式仍然是一个挑战.
热力学原理为分析生物系统提供了一个新的框架.

研究的目的:

介绍SurprisalAnalysis,一个R包和用于提取基因调节模式的Web应用程序.
将基于热力学原理的Surprisal分析应用于基因表达数据.
为了确定生物模块和过程的基础观测系统动态.

主要方法:

使用Surprisal分析,用热力学术语对基因表达进行框架.
确定由驱动的约束和基因重量.
将基因表达分解为基线和约束驱动组件.

主要成果:

提取在生物过程中上下调节的基因模式.
识别不同的生物模块或过程.
提供了对协调监管基础系统动态的洞察.

结论:

惊喜分析为了解基因调节提供了一种新的方法.
R包和Web应用程序有助于 Surprisal 分析的应用.
这种方法有助于揭示控制生物系统的热力学约束.

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