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                                       Details for article 99 of 157 found articles
 
 
  Optimized Voronoi compartment determination using machine-learning to identify prognostic groups of patients based on cellular behavior in treated AML
 
 
Title: Optimized Voronoi compartment determination using machine-learning to identify prognostic groups of patients based on cellular behavior in treated AML
Author: Benton, Christopher B.
Short, Nicholas
Hokanson, Jeff
Pierce, Sherry
Nogueras Gonzalez, Graciela
Maiti, Abhishek
Min, Taejin L.
Konopleva, Marina
Kadia, Tapan
Cortes, Jorge
Jabbour, Elias
Garcia-Manero, Guillermo
Ravandi, Farhad
Kantarjian, Hagop
Andreeff, Michael
Appeared in: Clinical lymphoma myeloma and leukemia
Paging: Volume 15 (2015) nr. S2 pages 1 p.
Year: 2015
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 99 of 157 found articles
 
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