Title : A combination of tumor and molecular markers predicts a poor prognosis in lung adenocarcinoma.

Pub. Date : 2019

PMID : 31933987






1 Functional Relationships(s)
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1 Using machine learning, LASSO selected the subset of variables that minimized the predictive error of the outcome, including CEA, NSE, CYFRA 21-1, CAMKII, tumor size, histologic type, lymph node status, smoking, and age. alachlor calcium/calmodulin dependent protein kinase II gamma Homo sapiens