Invasion performance-similarity found among multiple cell systems

Understanding of inter-system behavior develops biologically relevant intuition for drug repositioning as well as other biological research. But combining all the possible genes interactions into a system, and furthermore comparisons of multiple systems are a challenge on time ground with feasible experiments. In present study, 64 cell lines from 11 different organs were compared for their invasion performance. RNA expressions of 23 genes were used to create systems artificial neural network (ANN) models. ANN models were prepared for all 64 cell lines and observed for their invasion performance through network mapping. The resulted cell line clusters bear feasible capacity to perform experiments for biologically relevant research motivations as drug repositioning and selective targeting etc.; and can be used for analysis of invasion related aspects.