Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
Tathiane M. Malta(Henry Ford Health System), Gordon Saksena, Jean C. Zenklusen(National Cancer Institute), Jiashan Zhang, Juok Cho(Wellcome Sanger Institute), Andrew J. Gentles(Stanford Medicine), Ina Felau(National Cancer Institute), Timothy Defreitas, Heidi J. Sofia, Rashi Naresh, John N. Weinstein(The University of Texas MD Anderson Cancer Center), Roy Tarnuzzer(University of Central Florida), Antonio Colaprico(Institut Curie), Larsson Omberg(Sage Bionetworks), Melpomeni Kasapi, John A. Demchok(National Cancer Institute), Carolyn M. Hutter(National Human Genome Research Institute), Joerg Huelsken(Swiss Cancer Center Léman), Sudha Chudamani, Martin L. Ferguson(National Cancer Institute), Alexander J. Lazar(The University of Texas MD Anderson Cancer Center), Scott Frazer, Bożena Kamińska(Polish Academy of Sciences), Rory Johnson(University College Dublin), Laxmi Lolla(Windber Research Institute), David I. Heiman(Broad Institute), Ye Wu, Nils Gehlenborg(Harvard University), Tomasz Burzykowski(Transnational University Limburg), Holger Heyn(Scope Group (United States)), Patrycja Czerwińska(Poznan University of Medical Sciences), Michael S. Lawrence(Broad Institute), Todd Pihl, Laila Poisson, Michael S. Noble(Broad Institute), Olivier Gevaert(Stanford Medicine), Artem Sokolov(University of California, Santa Cruz), A. Krasnitz(Cold Spring Harbor Laboratory), Lopa Mishra(Northwell Health), Jia Liu(Nanjing Tech University), Liming Yang(China Three Gorges Corporation (China)), Zhining Wang(Shandong University), Qiang Sun, Jaegil Kim(Broad Institute), Yunhu Wan, Andrew K. Godwin(The University of Kansas Cancer Center), Gad Getz(Broad Institute), Pei Lin, Sylwia Mazurek(Poznan University of Medical Sciences)
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