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Inclusion of genetic variants in an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response

Identifying in advance who is unlikely to respond to a specific antidepressant treatment is crucial to precision medicine efforts. The current work leverages genome-wide genetic variation and machine learning to predict response to the antidepressant citalopram using data from the Sequenced Treatmen...

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Publicat a:Sci Rep
Autors principals: Shumake, Jason, Mallard, Travis T., McGeary, John E., Beevers, Christopher G.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2021
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7881144/
https://ncbi.nlm.nih.gov/pubmed/33580158
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83338-2
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