Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning [version 3; referees: 1 approved, 2 approved with reservations]
Background: 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. Methods: Gene expression...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2018-12-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/7-474/v3 |