Author

Alfred Hero

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Preprint Aug 2026

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

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 PerturbRx, a treatment-conditioned repr...

Yoshitaka Inoue, Minoh Jeong, Alfred Hero et al. · 0 citations

#machine learning Open access Feb 2025

Hierarchical sparse Bayesian multitask learning for disease prediction in pooled microbiome studies

A hierarchical Bayesian multitask learning model that is applicable to the general multi-task binary classification learning problem where the model assumes a shared sparsity structure across different tasks is proposed and derived based on variational inference to approximate the posterior distribution.

Hao-Nan Zhu, Andre R. Goncalves, Car Reen Kok et al. · BioData Mining · 1 citation