JigSaw: A tool for discovering explanatory high-order interactions from random forests

9 May 2020Demetrius DiMucci

Machine learning is revolutionizing biology by facilitating the prediction of outcomes from complex patterns found in massive data sets. Large biological data sets, like those generated by transcriptome or microbiome studies,measure many relevant components that interact in vivo with one another in modular ways.Identifying the high-order interactions that machine learning models use to make predictions would facilitate the development of hypotheses linking combinations of measured components to outcome... (read more)

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