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Investigating an in-silico approach for prioritizing antidepressant drug prescription based on drug-induced expression profiles and predicted gene expression

2020-04-24

Abstract excerpt

In clinical practice, antidepressant prescription is a trial and error approach, which is time consuming and discomforting for patients. This study investigated an in-silico approach for ranking antidepressants based on their hypothetical likelihood of efficacy. We determined the transcriptomic profile of citalopram remitters by performing a transcriptomic-wide association study on STAR*D data ( N =1163 ). The tr...

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Literature Corpus work
cb58c2d0-1153-5eb6-92ac-59fa9f82df34
DOI
10.1101/2020.04.22.054940
Open publication

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Investigating an in-silico approach for prioritizing antidepressant drug prescription based on drug-induced expression profiles and predicted gene expressionDOI 10.1101/2020.04.22.054940
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