Predicting Ligand-Dependent Tumors From Multi-Dimensional Signaling Features
Helge Hass, Kristina Masson, Sibylle Wohlgemuth, Violette B. Paragas, John E. Allen, Mark Sevecka, Emily A. Pace, Jens Timmer, Jörg Stelling, Gavin MacBeath, Birgit Schoeberl, Andreas Raue
The paper predicts ligand-dependent tumor growth in cell lines and patient samples using a mechanistic signaling model and Bagged Decision Trees, finding a correlation between growth factor expression and predicted response.
npj Systems Biology and Applications · Sep 14, 2017Peer-reviewedSystems Biology