Classification of microarrays; synergistic effects between normalization, gene selection and machine learning

BMC Bioinformatics

Table 2 Differently expressed genes in the datasets

Number of significant genes in each data set and the corresponding significance thresholds. The t-test was used to compute p-values for each gene and the Bonferroni correction was used to judge significance (i.e. significance threshold at 0.05 divided by the number of genes).