Elucidation of modularity in transcriptional regulatory networks

在本研究中，我们研究并比较了由非编码rna （ncRNAs）和蛋白质相关生物大分子（PRMs）之间的功能相互作用所定义的网络的社区结构和转录调控网络。研究结果表明，群落规模的分布遵循比例规律，揭示了复杂的结构。此外，k-团亚图和重叠表明，鉴定的ncRNA分子群落可能与某些功能有关。最后，我们还从数学上推导了仅使用二部网络信息预测投影网络结构的方程。

In this research, we investigate and compare the community structure of the network defined by functional interactions between non-coding RNAs (ncRNAs) and proteins related bio-macrolecules (PRMs) and the transcriptional regulatory network. Our findings show that the distributions of community sizes followed a scaling-law revealing a complex structure. In addition, the k-clique sub-graphs and overlaps show that the identified communities of the ncRNA molecules could potentially be associated with certain functions. Finally, we also derived mathematically the equations that predict projected network structure using only bipartite network information.