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A unified simulation model for understanding the diversity of cancer evolution
View ORCID ProfileAtsushi Niida, View ORCID ProfileTakanori Hasegawa, Hideki Innan, View ORCID ProfileTatsuhiro Shibata, Koshi Mimori, View ORCID ProfileSatoru Miyano
doi: https://doi.org/10.1101/762997
Atsushi Niida
1 Institute of Medical Science University of Tokyo;
Takanori Hasegawa
2 the University of Tokyo;
Hideki Innan
3 SOKENDAI, The Graduate University for Advanced Studies;
Tatsuhiro Shibata
2 the University of Tokyo;
Koshi Mimori
4 Kyushu University Beppu Hospital
Satoru Miyano
2 the University of Tokyo;
Posted January 28, 2020.
A unified simulation model for understanding the diversity of cancer evolution
Atsushi Niida, Takanori Hasegawa, Hideki Innan, Tatsuhiro Shibata, Koshi Mimori, Satoru Miyano
bioRxiv 762997; doi: https://doi.org/10.1101/762997
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