TY - JOUR AU - Zhang, Cheng AU - Lee, Sunjae AU - Mardinoglu, Adil AU - Hua, Qiang PY - 2016 M3 - Original Research TI - Investigating the Combinatory Effects of Biological Networks on Gene Co-expression JO - Frontiers in Physiology UR - https://www.frontiersin.org/articles/10.3389/fphys.2016.00160 VL - 7 SN - 1664-042X N2 - Co-expressed genes often share similar functions, and gene co-expression networks have been widely used in studying the functionality of gene modules. Previous analysis indicated that genes are more likely to be co-expressed if they are either regulated by the same transcription factors, forming protein complexes or sharing similar topological properties in protein-protein interaction networks. Here, we reconstructed transcriptional regulatory and protein-protein networks for Saccharomyces cerevisiae using well-established databases, and we evaluated their co-expression activities using publically available gene expression data. Based on our network-dependent analysis, we found that genes that were co-regulated in the transcription regulatory networks and shared similar neighbors in the protein-protein networks were more likely to be co-expressed. Moreover, their biological functions were closely related. ER -