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Tighten README signal
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README.md

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@@ -13,8 +13,8 @@ Reproducible bulk RNA-seq differential expression pipeline using DESeq2: QC, shr
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- Identified **1,773 thresholded DE genes** in the balanced subset (FDR < 0.05, |log₂FC| > 1), dominated by canonical interferon-stimulated genes
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- Full-cohort sensitivity analysis identified **4,378 thresholded DE genes**, with **1,266** shared with the balanced analysis and **99.8%** effect-direction concordance
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- Enriched pathways: GO "response to virus", KEGG "Coronavirus disease - COVID-19" (FDR = 4.5e-39)
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- **Extended: Viral load stratification** COVID-positive samples stratified by N1 Ct value into high/low viral load groups with independent DE analysis and continuous ISG–Ct correlation, extending the original continuous regression approach with a group-comparison framework
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- **Extended: Sex-stratified interaction analysis** Condition-by-sex interaction model (`~ condition * gender`) to identify genes with sex-differential transcriptional responses, complementing the original study's sex-adjusted analysis with a formal interaction test
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- **Extended: Viral load stratification** - COVID-positive samples stratified by N1 Ct value into high/low viral load groups with independent DE analysis and continuous ISG–Ct correlation, extending the original continuous regression approach with a group-comparison framework
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- **Extended: Sex-stratified interaction analysis** - Condition-by-sex interaction model (`~ condition * gender`) to identify genes with sex-differential transcriptional responses, complementing the original study's sex-adjusted analysis with a formal interaction test
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- Extracts full GEO covariates (viral load Ct, age, sex, sequencing batch) for covariate-aware analyses
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- Raw and shrunken DE outputs, analysis summary metrics, and git/session provenance are generated automatically
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- `results/tables/output_manifest.csv` records file sizes and checksums for committed figures and tables

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