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docs: rename skills section; tighten wording
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README.md

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@@ -15,13 +15,13 @@ Reproducible bulk RNA-seq differential expression pipeline using DESeq2: QC, PCA
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- Full reproducible R workflow (DESeq2, clusterProfiler) with modular scripts and fixed seeds
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- Results align with Lieberman *et al.* (2020), who reported viral-load-dependent ISG induction
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## Skills Demonstrated
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## Methods Overview
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- Bulk RNA-seq preprocessing and quality control
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- Differential expression modelling with DESeq2
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- Variance-stabilising transformation (VST) for visualisation
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- Functional enrichment analysis (GO/KEGG)
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- Reproducible bioinformatics workflows
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- Reproducible analysis workflow (pinned dependencies via `renv`, fixed random seeds)
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## Dataset
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