Using machine learning to unravel the intricacy of acute myeloid leukemia.
Resource Type
Academic Journal
Authors
Guarnera L; Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland OH, 44114, USA; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome.; Visconte V; Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland OH, 44114. visconv@ccf.org.
Source
Publisher: Ferrata Storti Foundation Country of Publication: Italy NLM ID: 0417435 Publication Model: Electronic Cited Medium: Internet ISSN: 1592-8721 (Electronic) Linking ISSN: 03906078 NLM ISO Abbreviation: Haematologica Subsets: MEDLINE