Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing Profiles
Nicolas Borisov(Moscow Institute of Physics and Technology), Anton Buzdin(Federal Medical-Biological Agency), Mikhail Raevskiy(Moscow Institute of Physics and Technology), Victor Tkachev, Maria Nareiko(Ministry of Health of the Russian Federation), Anna Sergeeva(National Medical Research Center for Hematology), Alexander Gudkov(Sechenov University), Л. П. Менделеева(National Research Center for Hematology Russian Academy of Medical Sciences), Maxim Sorokin(Sechenov University), Andrew Garazha, Maria Suntsova(Institute of Bioorganic Chemistry), Xin‐Min Li(Handan College), Нуршат Гайфуллин(Lomonosov Moscow State University), В. Л. Сурин(National Medical Research Center for Hematology)
Cited by 34
Related Papers
Autologous haematopoietic stem cell mobilisation in multiple myeloma and lymphoma patients: a position statement from the European Group for Blood and Marrow Transplantation
|Bone Marrow Transplantation|2014|195
Atlas of RNA sequencing profiles for normal human tissues
|Scientific Data|2019|142
Current Multiple Myeloma Treatment Strategies with Novel Agents: A European Perspective
|The Oncologist|2010|92
Thromboelastography, thrombin generation test and thrombodynamics reveal hypercoagulability in patients with multiple myeloma
|Leukemia & lymphoma/Leukemia and lymphoma|2015|59