Transcript clusters reveal dynamic DNA damage response. (A) Average expression profiles for clusters of dynamic transcripts. Using an unsupervised machine learning technique, we clustered dynamic transcripts based on their shared expression profiles into 15 different clusters. These line graphs are the average expression profiles for each treatment. (B) Heat map of functional enrichment analysis using KEGG. Each row contains an over-represented KEGG term with a gradient representing the adjusted P-value. (C) Heat map of functional enrichment analysis using GO analysis. Each gene was mapped to its respective homolog(s) in S. cerevisiae. Each row contains an overrepresented GO term with a gradient representing the adjusted P-value.