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Article

Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning

2018-12-07

Abstract excerpt

<h4>Background: </h4> We sought to test the hypothesis that transcriptome-level gene signatures are differentially expressed between male and female bipolar patients, prior to lithium treatment, in a patient cohort who later were clinically classified as lithium treatment responders. <h4>Methods: </h4>: Gene expression study data was obtained from the Lithium Treatment-Moderate dose Use Study data accessed from t...

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Literature Corpus work
bc42271c-2d7e-549e-a904-67cd5c85c2a2
DOI
10.12688/f1000research.14451.3
Open publication

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Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learningDOI 10.12688/f1000research.14451.3
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