Rectified Classifier Chains for Prediction of Antibiotic Resistance From Multi-Labelled Data With Missing Labels
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DOI: 10.1109/tcbb.2022.3148577
Abstract: Predicting Antimicrobial Resistance (AMR) from genomic data has important implications for human and animal healthcare, and especially given its potential for more rapid diagnostics and informed treatment choices. With the recent advances in sequencing technologies,… read more here.
Keywords: rcc; amr prediction; missing labels; resistance ... See more keywords