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Branching process models of cancer
This volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As a consequence, the authors calculate the probability that mutations that confer resistance to treatment are present at det...
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| Lenguaje: | eng |
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Springer
2015
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-16065-8 http://cds.cern.ch/record/2032359 |