PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction

By Yoshitaka Inoue · Paper · q-bio.QM

Scarce data and tumor heterogeneity limit patient-level cancer treatment-response prediction. Existing approaches predict response from pretreatment molecular profiles and drug representations, without explicitly modeling the molecular changes expected under treatment. We propose

Q Bio.qm

View original

HomeResourceLoading…