Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion

Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion

The Golgi apparatus is a key organelle for protein synthesis in eukaryotic cell. Any dysfunction of Golgi-resident proteins can lead to different diseases, especially neurodegenerative and inherited diseases, such as diabetes, cancer, and cystic fibrosis, and so on. Therefore, the accurate classific...

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Bibliographic Details
Main Authors: Hongyan Zhou, Cheng Chen, Minghui Wang, Qin Ma, Bin Yu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Golgi-resident protein
multi-information fusion
conditional covariance minimization
synthetic minority over sampling technique
extreme gradient boosting
Online Access:https://ieeexplore.ieee.org/document/8817940/

Internet

https://ieeexplore.ieee.org/document/8817940/

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