Source code
I contributed to this project as part of my work as research assistant at the Multiomics Network Analytics Group (MoNA) - Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain).
Summary
ACore is a Python package with statistical functions to analyse multimodal molecular data. It is designed to be flexible and extensible, allowing users to perform a wide range of analyses on multi-omics datasets. It is part of a broader ecosystem of tools for multi-omics analysis, working in conjunction with VueCore and VueGen to enable end-to-end data processing, visualization, and reporting.
This package is still in development, but it already includes functions for data preprocessing, normalization, batch correction, enrichment analysis, and differential analysis of multi-omics data.
Additional information
The ACore documentation is available at analytics-core.readthedocs.io, where you can find detailed information of the package’s classes and functions, installation and execution instructions, and API usage notebooks for all analyses. The source code is openly available on GitHub, where you can also find the latest updates and contribute to the project.