Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Journal: Cell

Published: 2018-04-05

DOI: 10.1016/j.cell.2018.03.034

Affiliations: 22

Authors: 23

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Institutions FC
Henry Ford Health System (HFHS), United States of America (USA) 0.09
Stanford University, United States of America (USA) 0.09
The University of Texas MD Anderson Cancer Center, United States of America (USA) 0.09
Poznan University of Medical Sciences (PUMS), Poland 0.08
Hasselt University (UHasselt), Belgium 0.04
Harvard Medical School (HMS), United States of America (USA) 0.04
Van Andel Research Institute (VAI), United States of America (USA) 0.04
The University of North Carolina at Chapel Hill (UNC), United States of America (USA) 0.04
University of California, Santa Cruz (UCSC), United States of America (USA) 0.04
University of Kansas Medical Center (KUMC), United States of America (USA) 0.04
Cold Spring Harbor Laboratory (CSHL), United States of America (USA) 0.04
Spanish National Genome Analysis Center (CNAG), CRG BIST, Spain 0.04
The George Washington University (GW), United States of America (USA) 0.04
Ribeirão Preto Medical School (FMRP), USP, Brazil 0.04
Sage Bionetworks, United States of America (USA) 0.04
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland 0.04
Nencki Institute of Experimental Biology, PAS, Poland 0.04
Postgraduate School of Molecular Medicine (SMM), MUW, Poland 0.02
Interuniversity Institute of Bioinformatics in Brussels (IB)², Belgium 0.02
Université Libre de Bruxelles (ULB), Belgium 0.02
Greater Poland Cancer Centre (WCO), Poland 0.01
International Institute for Molecular Oncology (IIMO), Poland 0.01

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