Work

iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset

Year: 2015

Type: article

Source: Analytical Biochemistry

DOI: 10.1016/j.ab.2015.12.009

Authors: Jianhua Jia, Zi Liu, Xuan Xiao, Bingxiang Liu, Kuo-Chen Chou

Institutions: Jingdezhen Ceramic Institute, The Gordon Life Science Institute, King Abdulaziz University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province

Awards: G1864978289, 基于智能计算的蛋白质进化研究, G3664493070, 集成学习框架下的蛋白质-蛋白质结合位点预测方法研究, 基于多源信息融合的受体和抗菌肽分层多标签分类预测模型研究, G7694876748

OpenAlex ID: W2209329607

FWCI: 13.66

Cites: 96

Cited by: 275

Related to: 10