Figure 4. Gene expression analysis using heatmap, box plot, and volcano plot.

(A, B, C) Heatmaps show sample-level expression patterns using hierarchical or K-means clustering. Users can choose among four omics types (RNA, proteome, methylation, and phosphorylation), adjust expression scales, and apply clinical annotations to columns; (B) box plots display gene-level expression distributions across tumor and normal samples. Users can toggle between raw and normalized values, and compare expression levels across selected genes; and (C) volcano plots visualize differentially expressed genes based on fold-change and P-value thresholds. Clinical groups are defined using continuous or categorical variables, and dynamic comparisons are supported. Selected genes and summary statistics (log₂FC, P-value, FDR) are listed in the result table.