Modelling breast cancer gene expression using bayesian networks

This paper addresses microarray analysis, through an integrated technique of interpreting gene expressions from modified breast tissue in order to identify genes whose expression is correlated with a certain phenotypic trait, in our case, breast cancer and which can be used as tools for the realization of possible pathways through which mutations of differentially expressed genes lead to the appearance of this neoplasm. The approach described in this paper is helpful in discovering and understanding as fully as possible the causal relationships between genes identified as being differentially expressed from a biological data set.