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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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F1000 Research Limited
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381805/ https://www.ncbi.nlm.nih.gov/pubmed/30828420 http://dx.doi.org/10.12688/f1000research.14451.3 |