Notably, several features that did not reach statistical significance in the inference model (1-palmitoyl-2-dihomo-linolenoyl-GPC (16:0/20:3n3 or 6)*, p = 0.074; 1-stearoyl-2-arachidonoyl-GPC, p = 0.108; glycerate, p = 0.171) remained key contributors to the predictive performance of the ML model.
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CSF metabolomic signature during therapy for childhood acute lymphoblastic leukemia predicts subsequent working memory impairment.
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