Decoding cancer prognosis with deep learning: the ASD-cancer framework for tumor microenvironment analysis
ABSTRACT Deep learning is revolutionizing biomedical research by facilitating the integration of multi-omics data sets while bridging classical bioinformatics with existing knowledge. Building on this powerful potential, Zhang et al. proposed a semi-supervised learning framework called Autoencoder-B...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Society for Microbiology
2025-05-01
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| Series: | mSystems |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/msystems.01455-24 |
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