EEG interacts_with SNP
Evidence from:
primary |
all sources
Evidence (2 sources)
Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study.
(2021)
PMID:31595034
primary
Combining EEG and SNP features resulted in higher accuracy scores than the models based on only EEG features or only SNPs.
confidence: 0.94
Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study.
(2021)
PMID:31595034
primary
EA samples (EA; p(EEG vs. EEG+SNP)< 0.001, p(SNP vs. EEG+SNP <.001) (AA; p(EEG vs. EEG+SNP)< 0.001, p(SNP vs. EEG+SNP <0.001).
confidence: 0.96