BioinformaticsResearchData Science
Gene Co-Expression Network
A complete bioinformatics workflow analyzing Duchenne Muscular Dystrophy (DMD) gene expression patterns using publicly available GEO transcriptomic datasets. Features WGCNA-style co-expression network construction, hub gene identification, and functional enrichment analysis with an interactive Streamlit dashboard.
Features
What it does
- ✓Automated GEO dataset download and preprocessing
- ✓Batch correction using pyComBat across multiple datasets
- ✓WGCNA-style co-expression network construction
- ✓Hub gene identification — SPP1, COL1A1, TYROBP, C3, POSTN
- ✓Interactive Streamlit dashboard for exploration
- ✓187 genes analyzed across 108 samples with 20 modules identified
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