Pywgcna

Add more post-analysis options:

- do functional enrichment analysis including Go, KEGG and REACTOME
- recover gene-gene interaction using STRING database
- More option to visualize modules

add more tutorials to understand several functionality of package

**First public release!**
Features include:

1. Finding clusters (modules) of highly correlated genes
2. Ploting module eigengene for relating modules to one another and to external sample traits (using eigengene network methodology)
3. Calculating module membership measures
4. Comparing PyWGCNA to another PyWGCNA/single cell gene markers

finding modules based on expression data and analysed the results

internal use add more feature to comparing part