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Machine learning derived genomics driven prognostication for acute myeloid leukemia with RUNX1-RUNX1T1
Panel based next generation sequencing was performed on a discovery cohort of AML with RUNX1-RUNX1T1. Supervised machine learning identified NRAS mutation and absence of mutations in ASXL2, RAD21, KIT and FLT3 genes as well as a low mutation to be associated with favorable outcome. Based on this dat...
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| Опубликовано в: : | Leuk Lymphoma |
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| Главные авторы: | , , , , , , , , , , , , , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7116445/ https://ncbi.nlm.nih.gov/pubmed/32757686 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10428194.2020.1798951 |
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