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By combining mouse proteomic data with human transcriptomic data, a group led by Massachusetts Institute of Technology researchers has developed a computational method for predicting inflammatory bowel disease (IBD) patient responses to anti-tumor necrosis factor (anti-TNF) therapy. The method — called translatable components regression, or TransComp R — uses principal components analysis to link IBD patient pretreatment transcriptomic data to a model of disease-relevant mouse proteins.

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