Identify differentially expressed genes (DEGs), enriched
pathways, and activated gene sets related to specific
conditions, treatments, or phenotypes.
Explore sample clustering, outliers, gene co-expression modules,
and metadata-driven stratifications using PCA, heatmaps, and
correlation analysis.
Estimate cell-type proportions via deconvolution and assess
biological activity through gene set scoring or signature
evaluation.
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