Oral Session 2-13D MDS：Basic (3)

[OS2-13D-4] Pan-myeloid cancer analysis using machine learning algorithm

Kiyomi Morita^1,2, Feng Wang³, Yuanqing Yan⁴, Jyoti Nangalia⁵, Hideki Makishima⁶, Tetsuichi Yoshizato⁶, Kenichi Yoshida⁶, Cassandra Kerr⁷, Keyur Patel⁸, Carlos Bueso-Ramos⁸, Nikeshan Jeyakumar², Curtis Gumbs³, Latasha Little³, Jianhua Zhang³, Xingzhi Song³, Tapan Kadia², Naval Daver², Naveen Pemmaraju², Courtney DiNardo², Farhad Ravandi², Srdan Verstovsek², Elias Jabbour², Jorge Cortes², Hagop Kantarjian², Jaroslaw Maciejewski⁷, Guillermo Garcia-Manero², Seishi Ogawa⁶, Peter Campbell⁵, P Andrew Futreal³, Koichi Takahashi^2,3 (1.Department of Hematology and Oncology, The University of Tokyo, 2.Department of Leukemia, MD Anderson Cancer Center, 3.Department of Genomic Medicine, MD Anderson Cancer Center, 4.The University of Texas Health Science Center at Houston, 5.Wellcome Trust Sanger Institute, 6.Department of Pathology and Tumor Biology, Kyoto University, 7.Taussig Cancer Institute, Cleveland Clinic, 8.Department of Hematopathology, MD Anderson Cancer Center, Houston)