Novel method for the prediction of drug-drug Interaction based on gene expression profiles
نویسندگان
چکیده
• DDIs to Saccharomyces cerevisiae gene expression profiles is studied. Integrated analyses was performed towards the collection of obtained by multiple drugs treatments. Novel unsupervised tensor-based method for evaluating proposed. Findings demonstrate non-linear kinetics at various doses. The proposed contributes a better understanding DDIs. accurate prediction new interactions between important avoiding unknown (mild or severe) adverse reactions drug combinations. development effective in silico methods based on data requires an how alter expression. Current computational drug-drug (DDIs) utilize known predict interactions. However, these are limited absence predictive To improve interpretation, recent study has demonstrated strong (i.e., dose-dependent) effects In this study, we present learning approach involving tensor decomposition (TD)-based feature extraction (FE) 3D. We our reanalyze available . found that non-linearity possible, even single drugs. Thus, dose-dependence cannot always be attributed Our analysis provides basis design
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ژورنال
عنوان ژورنال: European Journal of Pharmaceutical Sciences
سال: 2021
ISSN: ['0928-0987', '1879-0720']
DOI: https://doi.org/10.1016/j.ejps.2021.105742