使用随机区块模型重新评估基因共同表达网络的模块性
Diogo Melo1,2, Luisa F Pallares1,2,3, Julien F Ayroles1,2
1Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
这项研究揭示了基因共同表达网络具有超出简单模块的复杂结构. 一种新的方法发现了更多的基因组,一些非模块化,挑战了系统生物学中的传统假设.
科学领域:
- 基因组学就是基因组学.
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 基因共同表达网络对于生物学洞察至关重要.
- 现有的社区检测方法往往以先验的模块化为前提.
- 这种假设可能会忽略其他基因相互作用组织.
结论:
- 转录组表现出比以前假设的更复杂的结构.
- 需要重新审视模块化作为基因共同表达网络的主要驱动因素的假设.
- SBM提供了一种强大的方法来发现复杂的网络组织.
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