Review of Imbalanced Data Learning for Protein Methylation Prediction

In this chapter, the authors focus on the study of computational predictions on this particular PTM-protein arginine methylation. They provide a comprehensive review of the study of arginine methylation prediction. They extensively investigate all existing methylation prediction methods and servers;...

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Bibliographische Detailangaben

Hauptverfasser:	Ding, Zejin, Zhang, Yan‐Qing
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	classifier training data collection feature extraction imbalanced data learning methylation prediction methods protein methylation prediction sequence encoding
Online-Zugang:	Volltext
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