Application of Monte Carlo cross-validation to identify pathway cross-talk in neonatal sepsis

作者：Zhang, Yuxia; Liu, Cui; Wang, Jingna; Li, Xingxia^*

来源：Experimental Biology and Medicine, 2018, 243(5): 444-450.

DOI：10.1177/1535370218759635

• Neonatal sepsis
• gene pathway cross-talk
• integrated approach
• random forest classification

To explore genetic pathway cross-talk in neonates with sepsis, an integrated approach was used in this paper. To explore the potential relationships between differently expressed genes between normal uninfected neonates and neonates with sepsis and pathways, genetic profiling and biologic signaling pathway were first integrated. For different pathways, the score was obtained based upon the genetic expression by quantitatively analyzing the pathway cross-talk. The paired pathways with high cross-talk were identified by random forest classification. The purpose of the work was to find the best pairs of pathways able to discriminate sepsis samples versus normal samples. The results found 10 pairs of pathways, which were probably able to discriminate neonates with sepsis versus normal uninfected neonates. Among them, the best two paired pathways were identified according to analysis of extensive literature.

• 出版日期2018-3
• 单位山东大学