The researchers from UNSW School of Chemistry examinedtaken from healthy individuals gathered by the Spanish European Prospective Investigation into Cancer and Nutrition .
"So to figure out which metabolites are more significant for the disease versus control groups, researchers usually look at correlations involving specific molecules." "Typically, researchers using machine learning to examine correlations between metabolites and disease reduce the number of chemical features first, before they feed it into the algorithm," he says.
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