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hdWGCNA 0.4.00

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- Core functionality
- hdWGCNA in single-cell data
- hdWGCNA in spatial transcriptomics data
- Isoform co-expression network analysis with PacBio MAS-Seq
- Network visualization
- Biological context for co-expression modules
- Differential module eigengene (DME) analysis
- Module trait correlation
- Enrichment analysis
- Exploring modules in external datasets
- Projecting modules to new datasets
- Module preservation and reproducibility
- Cross-species and cross-modality analysis
- Advanced topics
- Transcription factor regulatory network analysis
- Consensus network analysis
- hdWGCNA with pseudobulk data
- Co-expression module dynamics with pseudotime
- Other
- Module customization
- Alternative metacell algorithms
- Using SCTransform normalized data
- All vignettes
Reference
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GetMultiExpr

Source: R/getters_and_setters.R

GetMultiExpr.Rd

This function gets the expression matrix from the metacell object.

Usage

GetMultiExpr(seurat_obj, wgcna_name = NULL)

Arguments

seurat_obj: A Seurat object

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Developed by Sam Morabito, Swarup Lab.

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