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A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models.
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A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models.
A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models. J Adv Res. 2021 05; 30:113-122.
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PubMed
subject areas
Algorithms
Female
Gene Expression
Gene Expression Regulation, Neoplastic
Humans
Machine Learning
Models, Theoretical
Ovarian Neoplasms
Phosphatidylinositol 3-Kinases
Prognosis
Proto-Oncogene Proteins c-akt
Risk Assessment
Survival Rate
TOR Serine-Threonine Kinases
authors with profiles
TZU-CHIAO LU