Morozova et al. [92] constructed modules of correlated transcripts associated with alcohol sensitivity and induction of tolerance; these models were validated by transposon-mediated disruption of focal genes. A second approach built computational networks of covariant transcripts around genes that affect sensitivity or resistance to alcohol exposure identified by P-element mutations [86]. Subsequent RNAi-mediated inhibition of genes connected to the focal genes in the networks confirmed their effects on alcohol-related phenotypes. Those genes could, in turn, serve as focal genes to grow the computational networks by iteration, allowing a stepwise expansion of the network with simultaneous functional validation.
