Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature

Authors:	Ma Xin Guo Jing Wu Jiansheng Liu Hongde Yu Jiafeng Xie Jianming Sun Xiao

Institution:	State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, People's Republic of China.

Abstract:

Keywords:	RNA‐binding residues enriched random forest evolutionary information physicochemical properties
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