q-bio.QM · 2026-08-24 · No. 94

Quantitative Methods, 2026-08-24.

1 new papers in q-bio.QM. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

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

    Yoshitaka Inoue, Minoh Jeong, Alfred Hero, Rui Kuang, Augustin Luna

    q-bio.QM · cs.LG

    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 representation learning framework that learns intervention-induced latent transitions and uses them as patient-drug response...

    arxiv.org/abs/2608.21349 · PDF

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