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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116445/
https://www.ncbi.nlm.nih.gov/pubmed/32757686
http://dx.doi.org/10.1080/10428194.2020.1798951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116445/
https://www.ncbi.nlm.nih.gov/pubmed/32757686
http://dx.doi.org/10.1080/10428194.2020.1798951

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