Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers.

MLA

Nicoliche, Caroline Y. N., et al. “Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers.” ACS Sensors, vol. 5, no. 7, July 2020, pp. 1864–71. EBSCOhost, https://doi.org/10.1021/acssensors.0c00599.

APA

Nicoliche, C. Y. N., de Oliveira, R. A. G., da Silva, G. S., Ferreira, L. F., Rodrigues, I. L., Faria, R. C., Fazzio, A., Carrilho, E., de Pontes, L. G., Schleder, G. R., & Lima, R. S. (2020). Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers. ACS Sensors, 5(7), 1864–1871. https://doi.org/10.1021/acssensors.0c00599

Chicago

Nicoliche, Caroline Y N, Ricardo A G de Oliveira, Giulia S da Silva, Larissa F Ferreira, Ian L Rodrigues, Ronaldo C Faria, Adalberto Fazzio, et al. 2020. “Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers.” ACS Sensors 5 (7): 1864–71. doi:10.1021/acssensors.0c00599.