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Computational modeling of ovarian cancer dynamics suggests ..:
Gu, Shengqing
;
Lheureux, Stephanie
;
Sayad, Azin
...
Proceedings of the National Academy of Sciences. 118 (2021) 25 - p. , 2021
Link:
https://doi.org/10.1073/pnas.2026663118
RT Journal T1 <Title>Computational modeling of ovarian cancer dynamics suggests optimal strategies for therapy and screening</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1073_pnas.2026663118&Exemplar=1&LAN=DE A1 Gu, Shengqing A1 Lheureux, Stephanie A1 Sayad, Azin A1 Cybulska, Paulina A1 Hogen, Liat A1 Vyarvelska, Iryna A1 Tu, Dongsheng A1 Parulekar, Wendy R. A1 Nankivell, Matthew A1 Kehoe, Sean A1 Chi, Dennis S. A1 Levine, Douglas A. A1 Bernardini, Marcus Q. A1 Rosen, Barry A1 Oza, Amit A1 Brown, Myles A1 Neel, Benjamin G. PB Proceedings of the National Academy of Sciences YR 2021 SN 0027-8424 SN 1091-6490 JF Proceedings of the National Academy of Sciences VO 118 IS 25 LK http://dx.doi.org/https://doi.org/10.1073/pnas.2026663118 DO https://doi.org/10.1073/pnas.2026663118 SF ELIB - SuUB Bremen
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