jan-forest/autoencodix_package
Python library for multi-omics data integration by autoencoders
This project helps biological researchers integrate diverse 'omics' data, such as RNA sequencing and proteomics, to uncover hidden patterns. It takes in various numerical or categorical biological datasets and provides a reduced, more interpretable representation for further analysis. Scientists working with complex biological data will find this useful for understanding intricate biological systems.
Use this if you need to combine and analyze multiple types of biological 'omics' data (e.g., genomics, transcriptomics, proteomics) to find underlying relationships and reduce data complexity.
Not ideal if your primary goal is to analyze single-cell data or if you need to work with non-biological or image-based datasets only.
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Last pushed
Mar 12, 2026
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