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Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
Cell (2018)
  • Tathiane M. Malta, University of São Paulo
  • Tathiane M. Malta, Henry Ford Health System
  • Artem Sokolov, Harvard University
  • Andrew J. Gentles, Stanford University
  • Tomasz Burzykowski, University of Hasselt
  • Laila Poisson, Henry Ford Health System
  • John N. Weinstein, University of Texas MD Anderson Cancer Center
  • Bożena Kamińska, Nencki Institute of Experimental Biology
  • Joerg Huelsken, École Polytechnique Fédérale de Lausanne
  • Larsson Omberg, Sage Bionetworks
  • Olivier Gevaert, Stanford University
  • Antonio Colaprico, Université libre de Bruxelles
  • Patrycja Czerwińska, Poznan University of Medical Sciences
  • Sylwia Mazurek, Poznan University of Medical Sciences
  • Sylwia Mazurek, Medical University of Warsaw
  • Lopa Mishra, George Washington University
  • Holger Heyn
  • Alex Krasnitz, Cold Spring Harbor Laboratory
  • Andrew K. Godwin, University of Kansas
  • Alexander J. Lazar, University of Texas MD Anderson Cancer Center
  • Samantha J. Caesar-Johnson
  • John A. Demchok
  • Ina Felau
  • Melpomeni Kasapi
  • Martin L. Ferguson
  • Carolyn M. Hutter
  • Heidi J. Sofia
  • Roy Tarnuzzer
  • Zhining Wang
  • Liming Yang
  • Jean C. Zenklusen
  • Jiashan Zhang
  • Sudha Chudamani
  • Jia Liu
  • Laxmi Lolla
  • Rashi Naresh
  • Todd Pihl
  • Qiang Sun
  • Yunhu Wan
  • Ye Wu
  • Juok Cho
  • Timothy DeFreitas
  • Scott Frazer
  • Nils Gehlenborg
  • Gad Getz
  • David I. Heiman
  • Jaegil Kim
  • Michael S. Lawrence
  • Pei Lin
Disciplines
Publication Date
April 1, 2018
DOI
10.1016/j.cell.2018.03.034
Citation Information
Tathiane M. Malta, Tathiane M. Malta, Artem Sokolov, Andrew J. Gentles, et al.. "Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation" Cell Vol. 173 Iss. 2 (2018) p. 338 - 354
Available at: http://works.bepress.com/dave-hoon/22/