This livetask utilizes the PyDESeq2 library for differential expression analysis of gene expression data. It takes as input a count table and metadata file, performs differential expression analysis using pyDESeq2, and generates visualizations including a clustermap , volcano plot and a CSV file containing the results of the pyDESeq2 analysis.

The script is structured around the DeseqAnalyzer class, which handles data loading, statistical analysis, and visualization generation. It provides flexibility to specify control and experimental conditions, and significance thresholds.