scWGCNA is currently under construction! Everything is being overhauled and tons of new features are being added. You can check the dev branch, or check the [fancy new website](https://smorabit.github.io/scWGCNA/) for a sneak peak. For now use the dev branch with caution because it is changing on a pretty much daily basis, but I am planning to have a stable release of the updated scWGCNA at the beginning of March.
scWGCNA is a bioinformatics workflow and an add-on to the R package [WGCNA](https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/) to perform weighted gene co-expression network analysis in single-cell or single-nucleus RNA-seq datasets.
WGCNA was originally built for the analysis of bulk gene expression datasets, and the performance of
vanilla WGCNA on single-cell data is limited due to the inherent sparsity of scRNA-seq data. To account for this,
