A Methylation Diagnostic Model Based on Random Forests and Neural Networks for Asthma Identification

Figure 2

Methylation landscape of GSE85566. (a) Heat map of the top 1000 most divergent CpGs; the gradient from dark blue to yellow represented the change in expression level. (b) Results of differential expression analysis of volcano plots (asthma vs healthy). The -axis was log(deltaBeta), and the ordinate was -log10(adj.P.Val) value; DOWN (red): DECs with down-regulated expression, UP (gray): DECs with up-regulated expression, NOT (dark blue): meaningless. (c) Heat map of DECs. Dark blue to light blue means high to low expression, green represents asthma samples, red represented healthy samples, and a clustering tree aggregated similar samples together.

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