Correction: A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds

Zhijun Li; Kun Jin; Hong Chen; Liyuan Zhang; Guitao Zhang; Yizhou Jiang; Haixia Zou; Wentao Wang; Guangpei Qi; Xiangmeng Qu

doi:10.1039/D2NR90050E

Correction: A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds

Zhijun Li,^a Kun Jin,^a Hong Chen,^bc Liyuan Zhang,*^de Guitao Zhang,^a Yizhou Jiang,^a Haixia Zou,^a Wentao Wang,^a Guangpei Qi^a and Xiangmeng Qu*^a

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* Corresponding authors

^a Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China
E-mail: quxm5@mail.sysu.edu.cn

^b Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, China

^c Jiujiang Research Institute of Xiamen University, Jiujiang 332000, China

^d Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, c, MA 02138, USA
E-mail: liyuanzhang@seas.harvard.edu

^e School of Petroleum Engineering, State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, China

Abstract

Correction for ‘A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds’ by Zhijun Li et al., Nanoscale, 2022, 14, 3087–3096, DOI: 10.1039/D1NR07452K.

Nanoscale

Correction: A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds

Abstract

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Correction: A machine learning approach-based array sensor for rapidly predicting the mechanisms of action of antibacterial compounds

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