2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification

An integrated custom cross-response sensing array has been developed combining the algorithm module’s visible machine learning approach for rapid and accurate pathogenic microbial taxonomic identification. The diversified cross-response sensing array consists of two-dimensional nanomaterial (2D-n) w...

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Detalles Bibliográficos
Autores principales: Li, Zhijun, Jiang, Yizhou, Tang, Shihuan, Zou, Haixia, Wang, Wentao, Qi, Guangpei, Zhang, Hongbo, Jin, Kun, Wang, Yuhe, Chen, Hong, Zhang, Liyuan, Qu, Xiangmeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259531/
https://www.ncbi.nlm.nih.gov/pubmed/35792975
http://dx.doi.org/10.1007/s00604-022-05368-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259531/
https://www.ncbi.nlm.nih.gov/pubmed/35792975
http://dx.doi.org/10.1007/s00604-022-05368-5

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