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deg-screening-analysis

separate

Use when screening differentially expressed genes from a bulk expression matrix between two user-specified groups, producing DEG tables, a volcano plot, and a clustered heatmap. Triggers include DEG analysis, volcano plot, clustered heatmap, limma-based two-group comparison, and case-vs-control screening. NOT for single-cell RNA-seq, multi-group contrasts, count-model workflows such as DESeq2/edgeR, or non-expression omics data.

When to use

• a full differential expression table
• a filtered DEG table
• a volcano plot
• a clustered heatmap of top differential genes
• compare case vs control samples with limma
• screen upregulated and downregulated genes from a normalized expression matrix
• generate a DEG table with volcano and heatmap outputs from bulk transcriptome data

When not to use

• single-cell RNA-seq workflows
• multi-group contrasts or factorial designs
• count-model pipelines that require `DESeq2` or `edgeR`
• batch correction, covariate-adjusted models, or generalized design-matrix consulting
• non-expression omics data

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