APA (7th ed.) Citation

Coppola, G., Fiannaca, A., La Rosa, M., La Paglia, L., Urso, A., Gaglio, S., . . . Pimenidis, E. (2022). A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data. Engineering Applications of Neural Networks : 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, 1600, 323-335. https://doi.org/10.1007/978-3-031-08223-8_27

Chicago Style (17th ed.) Citation

Coppola, Gianmarco, et al. "A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data." Engineering Applications of Neural Networks : 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings 1600 (2022): 323-335. https://doi.org/10.1007/978-3-031-08223-8_27.

MLA (9th ed.) Citation

Coppola, Gianmarco, et al. "A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data." Engineering Applications of Neural Networks : 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, vol. 1600, 2022, pp. 323-335, https://doi.org/10.1007/978-3-031-08223-8_27.