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A unified simulation model for understanding the diversity of cancer evolution
View ORCID ProfileAtsushi Niida, View ORCID ProfileTakanori Hasegawa, View ORCID ProfileTatsuhiro Shibata, Koshi Mimori, View ORCID ProfileSatoru Miyano
doi: https://doi.org/10.1101/762997
Atsushi Niida
1Laboratory of Molecular Medicine, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
Takanori Hasegawa
2Division of Health Medical Data Science, Health Intelligence Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
Tatsuhiro Shibata
1Laboratory of Molecular Medicine, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
Koshi Mimori
3Department of Surgery, Kyushu University Beppu Hospital, Beppu, Japan
Satoru Miyano
4Laboratory of DNA Information Analysis, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
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Posted September 09, 2019.
A unified simulation model for understanding the diversity of cancer evolution
Atsushi Niida, Takanori Hasegawa, Tatsuhiro Shibata, Koshi Mimori, Satoru Miyano
bioRxiv 762997; doi: https://doi.org/10.1101/762997
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