Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments - Computational Intelligence Techniques for Comparative Genomics - page 32

Fig. 9 Gene functional enrichment in yeast2 dataset with 2,885 genes in DAVID Tool

Fig. 10 Gene functional enrichment in yeast2 dataset with 4,382 genes

p-value equals to 0.05, to identify 5 % of the genes. The statistically signi cant

values of these parameters are shown as column 8 and 9 in Fig. 9 . The list total,
population list, and population total are genes are shown as column 11 in Fig. 9 .
Figure 10 displays the cluster obtained on yeast4382 with DAVID. The gene
enriched in annotation term is scored as 1.29, which is an optimal value for the
dataset of 4,382 gene-IDs. Figure visualizes the annotated clusters of yeast4382,
whose p-value is <0.05. The impressive outputs of different standard statistics for