Identify gene modules correlated with INS secretion score and/or disease

[adamklie]

Context

For igvf-data/igvf_sc-islet_10X-Multiome. Previous attempts in scratch/2026_01_30/7_differential_analysis used DEGPatterns clustering + MAGMA enrichment. This was the basis for tools/gene-set-analysis.

Tasks

• Coordinate with Luca and Sara to run LIGER on the data
• Explore other latent factor models (hdWGCNA?)
• Check if identified modules correlate with INS secretion score or disease status (e.g. MAGMA for T1D/T2D GWAS loci enrichment)

[adamklie]

Dependencies

• Blocked by Impute INS secretion score at single cell level #3 (needs INS secretion score), Finalize DESeq2 pseudobulk methodology for RNA and ATAC #4 (needs finalized DESeq2 results)
• Feeds into Prioritize cREs for CRISPRi validation #16 (cRE prioritization)