zhangxiaoyu11/OmiEmbed
Multi-task deep learning framework for multi-omics data analysis
This framework helps researchers and biomedical scientists analyze complex biological data by integrating different types of "omics" data, like genomics or proteomics. It takes various omics datasets as input and can output insights such as predicted tumor types, reconstructed biological features, or patient survival predictions. It's designed for researchers working on disease classification and biomarker discovery in fields like cancer research.
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Use this if you need to combine and analyze multiple types of biological omics data to classify diseases, predict patient outcomes, or understand underlying biological mechanisms.
Not ideal if you are looking for a simple, off-the-shelf solution without any programming or deep learning expertise.
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50
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20
Language
Python
License
MIT
Category
Last pushed
May 05, 2022
Commits (30d)
0
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