transcriptional, protein, cellular) may be necessary to capture the biological complexity of response to treatment.• New bioinformatic tools, including machine learning approaches, are necessary to handle the complexity of the large data sets being currently explored. * This paper explores the ability of random forest-based algorithms to model gene expression and DNA methylation data in order to predict therapeutic responses in RA.
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