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1 Ergebnisse
1
Machine learning-based immune phenotypes correlate with STK..:
Rakaee, Mehrdad
;
Andersen, S
;
Giannikou, K
...
Annals of Oncology. 2023, .. , 2023
Link:
https://hdl.handle.net/11250/3079720
RT Journal T1
Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
UL https://suche.suub.uni-bremen.de/peid=base-ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250_3079720&Exemplar=1&LAN=DE A1 Rakaee, Mehrdad A1 Andersen, S A1 Giannikou, K A1 Paulsen, Erna-Elise A1 Kilvær, Thomas Karsten A1 Rasmussen Busund, Lill-Tove A1 Berg, Thomas A1 Richardsen, Elin A1 Lombardi, Ana Paola A1 Adib, E A1 Pedersen, Mona Irene A1 Tafavvoghi, Masoud A1 Wahl, Sissel Gyrid Freim A1 Petersen, R.H A1 Bondgaard, A.L A1 Yde, C.W A1 Baudet, C A1 Licht, P A1 Lund-Iversen, Marius A1 Grønberg, Bjørn Henning A1 Fjellbirkeland, Lars A1 Helland, Åslaug A1 Pøhl, M A1 Kwiatkowski, D.J A1 Dønnem, Tom PB Elsevier YR 2023 JF Annals of Oncology. 2023, . LK http://dx.doi.org/https://hdl.handle.net/11250/3079720 DO https://hdl.handle.net/11250/3079720 SF ELIB - SuUB Bremen
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