Inferência de redes gênicas: validação de inferência da rede para a bactéria Escherichia coli

Abstract

Escherichia coli is a bacteria with a remarkable ability to cause infections, and outbreaks of diseases caused by it can affect many individuals. Understanding how its genes interact with each other can help in the treatment and prevention of infections. In this context, the inference of gene networks can be used to recover the E. coli network. However, there is a problem in inferring gene networks: the amount of variables is greater than the amount of samples. One possible solution is to adopt biological data that is already known. Therefore, this work proposes to validate the inference of the E. coli network using existing biological data. In this way it can be analyzed whether the use of such data can help in the process of inference.