Accelerating bioactive peptide discovery via mutual information-based meta-learning

Abstract Recently, machine learning methods have been developed to identify various peptide bio-activities. However, due to the lack of experimentally validated peptides, machine learning methods cannot provide a sufficiently trained model, easily resulting in poor generalizability. Furthermore, the...

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Veröffentlicht in:	Briefings in bioinformatics 2022-01, Vol.23 (1)
Hauptverfasser:	He, Wenjia, Jiang, Yi, Jin, Junru, Li, Zhongshen, Zhao, Jiaojiao, Manavalan, Balachandran, Su, Ran, Gao, Xin, Wei, Leyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological activity Computer applications Functionals Learning algorithms Machine Learning Peptides Peptides - chemistry Prediction models Questions Sequence analysis Software
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