Predicting Analyte Concentrations from Electrochemical Aptasensor Signals Using LSTM Recurrent Networks

Nanomaterial-based aptasensors are useful devices capable of detecting small biological species. Determining suitable signal processing methods can improve the identification and quantification of target analytes detected by the biosensor and consequently improve the biosensor’s performance. In this...

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Detalles Bibliográficos
Autores principales: Esmaeili, Fatemeh, Cassie, Erica, Nguyen, Hong Phan T., Plank, Natalie O. V., Unsworth, Charles P., Wang, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598695/
https://www.ncbi.nlm.nih.gov/pubmed/36290497
http://dx.doi.org/10.3390/bioengineering9100529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598695/
https://www.ncbi.nlm.nih.gov/pubmed/36290497
http://dx.doi.org/10.3390/bioengineering9100529

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