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Hojin Lee¹, Young-In Park¹, Ina Jeon¹

¹Department of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.

Molecules and cells

|September 26, 2025

概括

GOREA简化了复杂的基因本体学生物过程术语从基因表达数据. 这种工具比现有方法提供了更具体和可解释的结果,改善了生物洞察力.

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
基因组学就是基因组学.

背景情况:

功能性丰富分析,包括基因组丰富分析 (GSEA) 和过度表示分析 (ORA),对于解释基因表达数据至关重要.
解释众多丰富的基因本体学生物过程 (GOBP) 术语仍然是一个重大挑战.
现有的工具,如simplifyEnrichment,往往会产生过于一般的或碎片化的摘要,并且不利用定量指标来确定优先级.

研究的目的:

开发GOREA,一个改进的工具来总结来自GSEA和ORA的GOBP术语.
通过整合定量指标和层次信息来增强丰富术语的生物解释和优先级.
为功能丰富分析提供更具可扩展性和高效的框架.

主要方法:

戈雷亚集成了二进制切割和层次聚类来组合GOBP术语.
它使用GOBP术语层次来识别集群中的代表性术语.
集群的排名是使用规范化的丰富分数 (NES) 或基因重叠比例.
使用复杂热图可视化结果,显示带有广泛和代表性GOBP术语的热图.

主要成果:

与simplifyEnrichment相比,GOREA产生了更具体和可解释的集群.
该工具显著减少了计算时间.
在免疫相关数据中,GOREA有效地识别了不同的生物过程.
它揭示了GOBP术语和癌症标志性基因组之间的大量重叠.

结论:

戈雷亚对现有的总结GOBP术语的方法提供了实质性的改进.
该工具提供了一般和特定的生物学见解,有助于解释.
戈雷亚在各种生物环境中适用,包括免疫学和癌症研究.
它为功能丰富分析提供了一个可扩展和高效的框架.

关键词:

戈雷亚 (Gorea) 是一个古老的城市.基因本体学生物过程生物过程.基因组丰富分析分析过度代表性的分析.简化丰富简化丰富

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