Details of Single-Molecule Force Spectroscopy Data Decoded by a Network-Based Automatic Clustering Algorithm.

Cheng, Huimin; Yu, Jun; Wang, Zhen; Ma, Ping; Guo, Cunlan; Wang, Bin; Zhong, Wenxuan; Xu, Bingqian

Cheng, Huimin; Yu, Jun; Wang, Zhen; Ma, Ping; Guo, Cunlan; Wang, Bin; Zhong, Wenxuan; Xu, Bingqian.

Afiliação

Cheng H; Big Data Analytics Lab, Department of Statistics, University of Georgia, Athens, Georgia 30602, United States.
Yu J; School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, P. R. China.
Wang Z; Big Data Analytics Lab, Department of Statistics, University of Georgia, Athens, Georgia 30602, United States.
Ma P; Big Data Analytics Lab, Department of Statistics, University of Georgia, Athens, Georgia 30602, United States.
Guo C; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China.
Wang B; Single Molecule Study Laboratory, College of Engineering, University of Georgia, Athens, Georgia 30602, United States.
Zhong W; Single Molecule Study Laboratory, College of Engineering, University of Georgia, Athens, Georgia 30602, United States.
Xu B; Big Data Analytics Lab, Department of Statistics, University of Georgia, Athens, Georgia 30602, United States.

J Phys Chem B ; 125(34): 9660-9667, 2021 09 02.

Article em En | MEDLINE | ID: mdl-34425052

Assuntos

Algoritmos; Sítios de Ligação; Análise por Conglomerados; Humanos; Microscopia de Força Atômica; Análise Espectral

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Phys Chem B Assunto da revista: QUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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