Deg Screening Analysis skill

Source: https://github.com/aipoch/medical-research-skills

Differential Expression Gene Screening Analysis (Volcano Plot & Clustered Heatmap)

When to Use

Use this skill when you need a reproducible two-group DEG workflow on a bulk expression matrix and want:

• a full differential expression table
• a filtered DEG table
• a volcano plot
• a clustered heatmap of top differential genes

Typical requests include:

• 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

Out of Scope

Do not use this skill for:

• 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

If the request falls outside this scope, stop and hand off to a more appropriate analysis workflow instead of forcing the data through this skill.

Practical Caveats

• Diffanalysis.csv currently exports name, logFC, P.value, and P.adj.
• --p_type controls both DEG screening semantics and volcano plot significance semantics.
• plot/heatmap.pdf is generated only when at least two heatmap genes remain after ranking.
• When the result is very sparse, prefer keeping tables and volcano output as the primary artifacts.

When to Read External Files

Situation	File to Read	Purpose
Need algorithm details or statistical assumptions	references/algorithm.md	limma method, filtering logic, volcano/heatmap selection rules
Need to execute the workflow	scripts/main.R	Get the exact CLI entry and runnable command
Encounter an error code or bad input format	references/troubleshooting.md	Match SKILL_* errors to causes and fixes
Need more CLI examples	references/cli-guide.md	See complete command examples for common use cases
Need a minimal runnable example	tests/data/	Use bundled test input files for validation

Usage

Rscript scripts/main.R \
  --input_file tests/data/oa_exp.csv \
  --group_file tests/data/oa_group.csv \
  --case OA \
  --control control \
  --output_dir ./results

Arguments

Short	Long	Type	Default	Required	Description
-i	--input_file	character	none	yes	Expression matrix CSV. First column is gene ID, remaining columns are sample values.
-g	--group_file	character	none	yes	Group annotation CSV. The script auto-detects sample and group columns, including files where the first column is row names or index.
-o	--output_dir	character	./DEG	no	Output directory for tables, plots, and session metadata.
	--case	character	none	yes	Case group name to compare. Matching is case-insensitive and trimmed.
	--control	character	none	yes	Control group name to compare. Matching is case-insensitive and trimmed.
-m	--diff_method	character	limma	no	Differential expression method. Current implementation supports limma only.
-p	--p_threshold	numeric	0.05	no	Significance threshold for DEG screening.
-f	--logfc_threshold	numeric	1	no	Absolute log fold change threshold for DEG screening.
	--top_n	integer	5	no	Number of top upregulated and top downregulated genes considered for heatmap selection.
	--p_type	character	p.adj	no	P-value field used for significance filtering and volcano significance coloring. Allowed values: p, p.adj.
	--run_plots	logical	TRUE	no	Whether to generate the volcano plot and clustered heatmap.
	--timeout_seconds	integer	3600	no	Maximum allowed runtime before timeout.
-s	--seed	integer	42	no	Random seed recorded for reproducibility.

Output Files

File	Format	Description
session_info.txt	txt	R session metadata and package versions used in the run.
data/DEG_list.rda	rda	Serialized R object containing method, groups, thresholds, the full differential table, and the screened DEG table.
table/Diffanalysis.csv	csv	Full differential expression result table with columns name, logFC, P.value, and P.adj.
table/DEG.csv	csv	Significant DEG table only, containing screened genes with group labels up or down.
plot/volcano_plot.pdf	pdf	Volcano plot of differential genes using the p-value mode selected by --p_type.
plot/heatmap.pdf	pdf	Clustered heatmap for selected top differential genes when at least two heatmap genes are available and plotting is enabled.

Workflow

Step 1: Validate Input

• check that input files exist
• load the expression matrix and ensure it is non-empty
• auto-detect sample and group columns in the group file
• verify sample IDs overlap correctly
• verify case/control groups exist and each selected group has at least two samples

Step 2: Run Differential Expression

• fit a two-group limma linear model
• build the contrast case - control
• compute empirical Bayes moderated statistics
• export the full differential result table

Step 3: Screen Differentially Expressed Genes

• apply p_threshold and logfc_threshold
• use P.value or P.adj based on --p_type
• label genes as up, down, or no
• export DEG tables and serialized result objects

Step 4: Generate Volcano Plot & Clustered Heatmap

• build plot/volcano_plot.pdf directly from the full differential table
• select top up and top down genes for heatmap input
• build plot/heatmap.pdf only when at least two heatmap genes are available

Error Handling

Error Code	Meaning	Typical Fix
SKILL_FILE_NOT_FOUND	Input file path does not exist	Verify the file path and rerun
SKILL_PACKAGE_NOT_FOUND	Required R package is missing	Install the missing package, then rerun
SKILL_MISSING_COLUMNS	Input file does not contain the necessary columns	Check CSV structure and column placement
SKILL_EMPTY_DATA	Input file is empty or limma returns no analyzable rows	Validate input content or confirm the matrix contains enough valid values
SKILL_INVALID_PARAMETER	Argument value or group selection is invalid	Check thresholds, --case, --control, and --p_type
SKILL_SAMPLE_MISMATCH	Expression matrix samples and group file samples do not match	Align sample IDs between the two input files
SKILL_TIMEOUT	The run exceeded the allowed runtime	Increase --timeout_seconds or simplify the run

If you need step-by-step fixes, read references/troubleshooting.md.

Testing

Rscript tests/run_tests.R

Minimal CLI smoke test:

Rscript scripts/main.R \
  --input_file tests/data/oa_exp.csv \
  --group_file tests/data/oa_group.csv \
  --case OA \
  --control control \
  --output_dir ./tests_output

Expected outputs:

• tests_output/table/Diffanalysis.csv
• tests_output/table/DEG.csv
• tests_output/plot/volcano_plot.pdf
• tests_output/session_info.txt

tests_output/plot/heatmap.pdf is expected only when enough significant genes remain for heatmap rendering. Runs with fewer than two selected heatmap genes skip heatmap generation with a warning instead of failing. tests_output/table/DEG.csv may be empty when no genes pass the current thresholds.

Skill name: deg-screening-analysis