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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |