Rivera, D.; Paudice, M.; Accorsi, G.; Valentino, F.; Ingaliso, M.; Pianezzi, A.; Roggieri, P.; Trevisan, L.; Buzzatti, G.; Mammoliti, S.;
et al. The Advantages of Next-Generation Sequencing Molecular Classification in Endometrial Cancer Diagnosis. J. Clin. Med. 2023, 12, 7236.
https://doi.org/10.3390/jcm12237236
AMA Style
Rivera D, Paudice M, Accorsi G, Valentino F, Ingaliso M, Pianezzi A, Roggieri P, Trevisan L, Buzzatti G, Mammoliti S,
et al. The Advantages of Next-Generation Sequencing Molecular Classification in Endometrial Cancer Diagnosis. Journal of Clinical Medicine. 2023; 12(23):7236.
https://doi.org/10.3390/jcm12237236
Chicago/Turabian Style
Rivera, Daniela, Michele Paudice, Giulia Accorsi, Floriana Valentino, Marta Ingaliso, Ada Pianezzi, Paola Roggieri, Lucia Trevisan, Giulia Buzzatti, Serafina Mammoliti,
and et al. 2023. "The Advantages of Next-Generation Sequencing Molecular Classification in Endometrial Cancer Diagnosis" Journal of Clinical Medicine 12, no. 23: 7236.
https://doi.org/10.3390/jcm12237236
APA Style
Rivera, D., Paudice, M., Accorsi, G., Valentino, F., Ingaliso, M., Pianezzi, A., Roggieri, P., Trevisan, L., Buzzatti, G., Mammoliti, S., Barra, F., Ferrero, S., Cirmena, G., Gismondi, V., & Vellone, V. G.
(2023). The Advantages of Next-Generation Sequencing Molecular Classification in Endometrial Cancer Diagnosis. Journal of Clinical Medicine, 12(23), 7236.
https://doi.org/10.3390/jcm12237236