HetFCM:通过异质网络共同集群的功能性共模块发现.
Haojiang Tan1,2, Maozu Guo3, Jian Chen4
1School of Software, Shandong University, Jinan 250101, Shandong, China.
Nucleic acids research
|December 13, 2023
概括
我们开发了HetFCM,这是一个用于从多omics数据中检测功能分子共模块的新框架. 该工具识别了与人类疾病和植物特征相关的关键基因,miRNA和lncRNA相互作用.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 功能分子模块分析对于理解复杂的生物规则至关重要.
- 现有的方法难以实现多层数据集成和跨层分子相互作用,导致信息丢失.
研究的目的:
- 提出 HetFCM,一个异质网络协集群框架,用于检测功能协模块.
- 为了有效地模拟多层异质分子的相互作用和属性.
主要方法:
- 构建一个属性异质网络来表示分子相互作用.
- 采用多个变化图自编码器来生成跨层关联矩阵.
- 在关联矩阵和属性数据上执行自适应加权协集群.
主要成果:
- HetFCM成功地确定了具有更密集的拓和重要的生物功能的共同模块.
- 这些模块与人类乳腺癌亚型和玉米表型有关,例如脂质储存和耐旱性.
- 对人类和玉米数据集的实证研究验证了框架的性能.
结论:
- HetFCM提供了一个强大的工具,用于检测多omics数据中的功能共模块.
- 该框架为分子机制提供了新的见解,可以应用于多层功能模块.
- 一个用户友好的工具可用于模块检测和分析.
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