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Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning
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...
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| Wydane w: | F1000Res |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
F1000 Research Limited
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6381805/ https://ncbi.nlm.nih.gov/pubmed/30828420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.14451.3 |
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