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.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-14407-9 |