PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer
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Cyll, K.; Kleppe, A.; Kalsnes, J.; Vlatkovic, L.; Pradhan, M.; Kildal, W.; Tobin, K.A.R.; Reine, T.M.; Wæhre, H.; Brennhovd, B.; Askautrud, H.A.; Skaaheim Haug, E.; Hveem, T.S.; Danielsen, H.E. PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer. Cancers 2021, 13, 4291. https://doi.org/10.3390/cancers13174291
Cyll K, Kleppe A, Kalsnes J, Vlatkovic L, Pradhan M, Kildal W, Tobin KAR, Reine TM, Wæhre H, Brennhovd B, Askautrud HA, Skaaheim Haug E, Hveem TS, Danielsen HE. PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer. Cancers. 2021; 13(17):4291. https://doi.org/10.3390/cancers13174291
Chicago/Turabian StyleCyll, Karolina, Andreas Kleppe, Joakim Kalsnes, Ljiljana Vlatkovic, Manohar Pradhan, Wanja Kildal, Kari A.R. Tobin, Trine M. Reine, Håkon Wæhre, Bjørn Brennhovd, Hanne A. Askautrud, Erik Skaaheim Haug, Tarjei S. Hveem, and Håvard E. Danielsen. 2021. "PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer" Cancers 13, no. 17: 4291. https://doi.org/10.3390/cancers13174291