A Metabolic Gene Prognostic Risk Model for Cervical Cancer
Background: Previous studies have identified hundreds of constantly changing metabolic genes in cervical cancer, however, their prognostic effect remains to be explored. Methods: In this paper, Cox univariate regression and Lasso regression models were used to identify metabolic genes associated wit...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
IMR Press,
2022-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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