BiomedSciAI/Geno4SD
An python omics data toolkit for the analysis across biological scales
This toolkit helps scientists analyze diverse biological data, from single-cell details to large patient health records, integrating genetics, gene expression, and clinical information. It takes raw omics data and clinical records as input, providing insights like disease risk scores, rare variant associations, or tumor shedding levels. Researchers and clinicians in genomics, epidemiology, and precision medicine will find this valuable for understanding disease mechanisms and patient outcomes.
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Use this if you need to integrate and analyze various types of omics data (genomics, transcriptomics) with clinical patient data to uncover disease associations or mechanisms across different biological scales.
Not ideal if you are looking for a simple, single-purpose statistical genetics tool, as this toolkit focuses on integrating multiple complex analytical methods and data types.
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 05, 2023
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