Prediction of Intrinsically Disordered Proteins Using Machine Learning Algorithms Based on Fuzzy Entropy Feature

Prediction of Intrinsically Disordered Proteins Using Machine Learning Algorithms Based on Fuzzy Entropy Feature

We used fuzzy entropy as a feature to optimize the intrinsically disordered protein prediction scheme. The optimization scheme requires computing only five features for each residue of a protein sequence, that is, the Shannon entropy, topological entropy, and the weighted average values of two prope...

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Bibliographic Details
Main Authors: Lin Zhang, Haiyuan Liu, Hao He
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Algorithms
Subjects:
intrinsically disordered proteins
fuzzy entropy
machine learning
prediction
Online Access:https://www.mdpi.com/1999-4893/14/4/102

Internet

https://www.mdpi.com/1999-4893/14/4/102

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