i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification

i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification

Parasites can cause enormous damage to their hosts. Studies have shown that antiparasitic peptides can inhibit the growth and development of parasites and even kill them. Because traditional biological methods to determine the activity of antiparasitic peptides are time-consuming and costly, a metho...

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Bibliographic Details
Main Authors: Minchao Jiang, Renfeng Zhang, Yixiao Xia, Gangyong Jia, Yuyu Yin, Pu Wang, Jian Wu, Ruiquan Ge
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Genetics
Subjects:
antiparasitic peptides
feature representation
maximum information coefficient
feature selection
T-distributed stochastic neighbor embedding
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.884589/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.884589/full

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