1. A method of analyzing a table of data relating to gene expression that varies with time and/or with the changing of environmental conditions, for identifying groups of co-regulated and co-expressed genes, comprising: defining a clustering criterion of the data of said table; in function of said clustering criterion, identifying in sub-tables ( CLUSTERS ) groups of genes that satisfy said clustering criterion; establishing pair combinations of said sub-tables; calculating characteristic parameters of the data associated to the groups of genes of each combination; generating for each combination a characteristic value in function of the characteristic parameters of the groups of genes by a decision algorithm based on soft computing techniques; identifying the combinations the characteristic value of which is greater than a certain pre-established threshold as “Gene Networks” and discarding combinations of groups of genes the characteristic value of which is smaller than said threshold.