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Classification of Coronavirus Spike Proteins by Deep-Learning-Based Raman Spectroscopy and its Interpretative Analysis

Wenbo Mo, Jiaxing Wen, Jinglin Huang, Yang Yue, Minjie Zhou, Shuang Ni, Wei Le, Lai Wei, Daojian Qi, Shaoyi Wang, Jingqin Su, Yu‐Chi Wu, Weimin Zhou, Kai Du, Xuewu Wang, Zongqing Zhao

2023Journal of Applied Spectroscopy18 citationsDOIOpen Access PDF

Topics & Concepts

Raman spectroscopyCoronavirusIdentification (biology)Artificial neural networkSpike (software development)Artificial intelligenceCoronavirus disease 2019 (COVID-19)Pattern recognition (psychology)Biological systemSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer scienceDeep learningComputational biologyPhysicsBiologyMedicineOpticsPathologyDiseaseBotanyInfectious disease (medical specialty)Software engineeringSpectroscopy Techniques in Biomedical and Chemical ResearchSARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testing
Classification of Coronavirus Spike Proteins by Deep-Learning-Based Raman Spectroscopy and its Interpretative Analysis | Litcius