Metabolism pathway-based subtyping in endometrial cancer: An integrated study by multi-omics analysis and machine learning algorithms
Endometrial cancer (EC), the second most common malignancy in the female reproductive system, has garnered increasing attention for its genomic heterogeneity, but understanding of its metabolic characteristics is still poor. We explored metabolic dysfunctions in EC through a comprehensive multi-omic...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2024-06-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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