CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques

Background: Carbonylation is a non-enzymatic irreversible protein post-translational modification, and refers to the side chain of amino acid residues being attacked by reactive oxygen species and finally converted into carbonyl products. Studies have shown that protein carbonylation caused by react...

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Bibliographic Details
Main Authors:	Lin, J. (Author), Liu, X. (Author), Zeng, X. (Author), Zou, Q. (Author), Zuo, Y. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	algorithm Algorithms Amyotrophic lateral sclerosis Carbonylation Computational predictions Correlation coefficient Experimental approaches Forecasting Functional characterization Integrated classification K-means clustering K-means similarity-based undersampling metabolism Neurodegenerative diseases Oxygen Post-translational modifications protein protein carbonylation Protein Carbonylation Protein post-translational modification protein processing Protein Processing, Post-Translational Proteins Reactive oxygen species Rotation forest Statistical tests support vector machine Support Vector Machine Support vector machines Synthetic minority over-sampling techniques The integrated classifier Vector spaces
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CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques

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