mbSTATS 0.0.2

A package for statistical analysis for processed untargeted GC/MS metabolomics data

mbSTATS

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.

Features

• 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.

Installation

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.git