Unraveling the copper-death connection: Decoding COVID-19's immune landscape through advanced bioinformatics and machine learning approaches
ABSTRACTThis study aims to analyze Coronavirus Disease 2019 (COVID-19)-associated copper-death genes using the Gene Expression Omnibus (GEO) dataset and machine learning, exploring their immune microenvironment correlation and underlying mechanisms. Utilizing GEO, we analyzed the GSE217948 dataset w...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Taylor & Francis Group,
2024-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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