Preliminary exploration of co-functional gene networks for wireless sensor networks

2018 IEEE 8TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC)(2018)

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摘要
This paper reports on-going progress in the exploration of a co-functional `gold-standard' gene network of Escherichia coli (E. Coli) from EcoliNet [1]. The goal is to apply outcomes of these explorations to wireless sensor networks. Interesting research shows how to cleverly model wireless sensor networks using Gene Regulatory Networks (GRNs) [2], [3], [4], [5]. These GRNs are scale-free networks. Scale-free networks often successfully model clusters exhibiting preferential attachment. Initially, our paper explores classical graph properties. The focus is on non-randomized expander graphs. Next, an E. coli co-functional gene network is analyzed. This lays foundations to highlight and potentially build on the work on GRNs to other natural scale-free networks such as co-functional genetic networks. Co-functional gene networks are different from GRNs. This is because GRNs are directed networks where directed edges indicate genetic processes such as inhibition and enhancement. Where co-functional gene networks have undirected edges indicating genes that share contributions to genetics.
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关键词
gold-standard gene network,natural scale-free networks,wireless sensor networks,GRN,cofunctional gene network,cofunctional genetic networks,Gene Regulatory Network,E. Coli,Escherichia coli,preferential attachment,directed edges,inhibition,nonrandomized expander graphs
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