hdWGCNA icon indicating copy to clipboard operation
hdWGCNA copied to clipboard

High dimensional weighted gene co-expression network analysis

Results 60 hdWGCNA issues
Sort by recently updated
recently updated
newest added

When i run this code to compute all MEs in the full single-cell dataset , however, the result of MEs is full of the character"NAN",like the picuture just show. I...

question

Hello, I'm a bit confused about how color is used in the volcano plots vs in PlotKMEs and other plots In some of my volcano plots all the modules retain...

question

Hi, Great to see the classic `WGCNA` implemented for single-cell/spatial datasets. Was wondering if you had any plans to upload to `conda` for package installation. Would make it super easy...

enhancement

I wanted to show the module expression for the modules I built for the mouse cortex split by treatment in the feature plot. It would be nice to have that...

enhancement

Thanks a lot for supporting and developing hdWGCNA, really great package! It seem that both links to description of statistics for module preservation (on page https://smorabit.github.io/hdWGCNA/articles/module_preservation.html) do not work (see...

question

Hello, Is there a way to evaluate how stable the modules are? In the projection section you discussed how modules created from one set may not apply to another set....

enhancement
question

Hi team, I've recently started using the hdWGCNA package and have been working with the [consensus network analysis](https://smorabit.github.io/hdWGCNA/articles/consensus_wgcna.html). I'm interested in extracting the co-expression matrices for each of the conditions...

enhancement
question

**Describe the bug** Provide a clear and concise description of what the bug/error is. If there is an error message, please copy it here. **If you have more than one...

When I try to use the ModuleTraitCorrelation function to Correlates categorical and numeric variables with Module Eigengenes or hub-gene scores, I get the following error: Error in `stop_vctrs()`: ! Input...

I have a co-expression network generated by other techniques, could we use that network to perform analysis? Thanks.

enhancement