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
Главные авторы: Shaikh, Anam Fatima, Kakirde, Chinmayee, Dhamne, Chetan, Bhanshe, Prasanna, Joshi, Swapnali, Chaudhary, Shruti, Chatterjee, Gaurav, Tembhare, Prashant, Prasad, Maya, Moulik, Nirmalya Roy, Gokarn, Anant, Bonda, Avinash, Nayak, Lingaraj, Punatkar, Sachin, Jain, Hasmukh, Bagal, Bhausaheb, Shetty, Dhanalaxmi, Sengar, Manju, Narula, Gaurav, Khattry, Navin, Banavali, Shripad, Gujral, Sumeet, Subramanian, P. G., Patkar, Nikhil
Формат: Artigo
Язык:Inglês
Опубликовано: 2020
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Article
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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