This study compares ten machine-learning classifiers and finds that cfDNA methylation patterns hold the most promise for multi-cancer early detection (MCED) testing.
Cell-free circulating DNA (cfDNA) analyses may enable multi-cancer early detection (MCED), but the most suitable method is unknown. In this issue of Cancer Cell, Jamshidi et al. compare ten machine-learning classifiers using various cfDNA features and conclude that cfDNA methylation patterns are most promising for MCED testing.
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