Estimating growth patterns and driver effects in tumor evolution from individual samples
There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution at a patient specific level.
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Autores principales: | Leonidas Salichos, William Meyerson, Jonathan Warrell, Mark Gerstein |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/6c6a5bf56eac4983a05e8f4f824a7d1c |
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