Cite
1181P Heterogeneity and prognostic diagnosis of KRAS-mutated population and KRAS G12C subtype among patients (pts) with advanced NSCLC (aNSCLC): A real-world study aided by machine learning approaches
MLA
H.H.F. Loong, et al. “1181P Heterogeneity and Prognostic Diagnosis of KRAS-Mutated Population and KRAS G12C Subtype among Patients (Pts) with Advanced NSCLC (ANSCLC): A Real-World Study Aided by Machine Learning Approaches.” Annals of Oncology, vol. 33, Sept. 2022, p. S1088. EBSCOhost, https://doi.org/10.1016/j.annonc.2022.07.1304.
APA
H.H.F. Loong, T. Liu, T. Pattipaka, R. Hong, T.W. Smith, S.M. Knoll, V. Pretre, R. Caparica Bitton, F. Ye, & A. Farago. (2022). 1181P Heterogeneity and prognostic diagnosis of KRAS-mutated population and KRAS G12C subtype among patients (pts) with advanced NSCLC (aNSCLC): A real-world study aided by machine learning approaches. Annals of Oncology, 33, S1088. https://doi.org/10.1016/j.annonc.2022.07.1304
Chicago
H.H.F. Loong, T. Liu, T. Pattipaka, R. Hong, T.W. Smith, S.M. Knoll, V. Pretre, R. Caparica Bitton, F. Ye, and A. Farago. 2022. “1181P Heterogeneity and Prognostic Diagnosis of KRAS-Mutated Population and KRAS G12C Subtype among Patients (Pts) with Advanced NSCLC (ANSCLC): A Real-World Study Aided by Machine Learning Approaches.” Annals of Oncology 33 (September): S1088. doi:10.1016/j.annonc.2022.07.1304.