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Unsupervised encoding selection through ensemble pruning for biomedical classification
[article]
2022
bioRxiv
pre-print
Owing to the rising levels of multi-resistant pathogens, antimicrobial peptides, an alternative strategy to classic antibiotics, got more attention. A crucial part is thereby the costly identification and validation. With the ever growing amount of annotated peptides, researchers employed artificial intelligence to circumvent the cumbersome, wet-lab-based identification and automate the detection of promising candidates. However, the prediction of a peptide's function is not limited to
doi:10.1101/2022.02.06.479282
fatcat:42sodqw2dbdmfcqunp2caer6p4