An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

Recent studies have increasingly shown that the chemical modification of mRNA plays an important role in the regulation of gene expression. N7-methylguanosine (m7G) is a type of positively-charged mRNA modification that plays an essential role for efficient gene expression and cell viability. Howeve...

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Bibliographic Details
Main Authors: Yue Bi, Dongxu Xiang, Zongyuan Ge, Fuyi Li, Cangzhi Jia, Jiangning Song
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
N7-Methylguanosine
m7G
prediction
XGBoost
machine learning
SHAP
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253120302511

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http://www.sciencedirect.com/science/article/pii/S2162253120302511

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