mbSTATS is a Python library designed for statistical analysis and data visualization, tailored for metabolomics research. It provides easy-to-use methods for data normalization, PCA, HCA, correlation matrix visualization, and other statistical tools to analyze metabolomics data.
- Data Normalization: Several normalization methods to preprocess metabolomics data for downstream analysis.
- Statistical Analysis: Perform PCA (Principal Component Analysis), HCA (Hierarchical Cluster Analysis), and generate correlation matrices.
- Visualization: Plot group averages, density distributions, and heatmaps for easy data interpretation.
- Extensible: Built with flexibility in mind to allow for additional statistical and visualization methods to be added as needed.
You can install the latest release of mbSTATS from PyPI:
pip install mbSTATS To install in a Notebook:
!pip install mbSTATS Alternatively, if you want to install directly from the GitHub repository:
pip install git+https://github.com/Satvik713/mbSTATS.gitTo directly get the plots for your data (after pip install run):
mbstats-cli -f /path/to/wt /path/to/oe1 /path/to/oe2 -o /path/to/output