Machine learning classifier approaches for predicting response to RTK-type-III inhibitors demonstrate high accuracy using transcriptomic signatures and ex vivo data

por Ferrato, Mauricio H, Marsh, Adam G, Franke, Karl R, Huang, Benjamin J, Kolb, E Anders, DeRyckere, Deborah, Grahm, Douglas K, Chandrasekaran, Sunita, Crowgey, Erin L
Publicado 2023