Your browser doesn't support javascript.
loading
Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes.
Nagata, Yasunobu; Zhao, Ran; Awada, Hassan; Kerr, Cassandra M; Mirzaev, Inom; Kongkiatkamon, Sunisa; Nazha, Aziz; Makishima, Hideki; Radivoyevitch, Tomas; Scott, Jacob G; Sekeres, Mikkael A; Hobbs, Brian P; Maciejewski, Jaroslaw P.
Affiliation
  • Nagata Y; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Zhao R; Department of Hematology, Nippon Medical School, Tokyo, Japan.
  • Awada H; Department of Quantitative Health Sciences and.
  • Kerr CM; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Mirzaev I; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Kongkiatkamon S; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Nazha A; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Makishima H; Leukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH; and.
  • Radivoyevitch T; Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Scott JG; Department of Quantitative Health Sciences and.
  • Sekeres MA; Department of Hematology and Medical Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH.
  • Hobbs BP; Leukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH; and.
  • Maciejewski JP; Department of Quantitative Health Sciences and.
Blood ; 136(20): 2249-2262, 2020 11 12.
Article in En | MEDLINE | ID: mdl-32961553
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Machine Learning Type of study: Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Blood Year: 2020 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myelodysplastic Syndromes / Machine Learning Type of study: Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Blood Year: 2020 Type: Article