bulk-wgcna-analysis-with-omicverse
Assist Claude in running PyWGCNA through omicverse—preprocessing expression matrices, constructing co-expression modules, visualising eigengenes, and extracting hub genes.
Security Assessment
About bulk-wgcna-analysis-with-omicverse
The 'bulk-wgcna-analysis-with-omicverse' skill helps users perform Weighted Gene Co-expression Network Analysis (WGCNA) on large-scale gene expression datasets using PyWGCNA and the Omicverse platform. It is designed to assist in preprocessing gene expression matrices, constructing co-expression networks, visualizing eigengenes, and identifying hub genes, all essential steps in gene network analysis. This skill enables researchers to extract meaningful biological insights from complex omics data, such as identifying gene modules linked to specific traits or diseases.
FAQ
How do I prepare the data for WGCNA analysis using this skill?
To prepare the data, you need to load your expression matrices (e.g., from a CSV file) and filter out genes based on their variance. The top variable genes can be selected using the median absolute deviation method.
What is the required environment for running this skill?
You need to import 'omicverse', 'scanpy', 'matplotlib', and 'pandas' libraries. Additionally, setting up plotting defaults using 'ov.plot_set()' is recommended.
Can I use this skill with datasets other than the 5xFAD dataset?
Yes, this skill can be used with any expression dataset, provided you follow the preprocessing steps and adjust parameters according to your data's characteristics.
What should I do if module detection fails during analysis?
If module detection fails, ensure that enough genes remain after filtering for variance. You may need to adjust the 'deepSplit' or 'softPower' parameters to improve module detection.
Are there any limitations when working with large datasets?
Yes, with large datasets, the analysis may produce many intermediate files. It is recommended to set 'save=False' to prevent the system from writing too many files to disk.
Install bulk-wgcna-analysis-with-omicverse
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
Starlitnightly/omicverse