q-bio.GN · 2026-09-02 · No. 103

Genomics, 2026-09-02.

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

01 — The papers

1 entries
  1. 01

    PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction

    Handong Wang, Jiaxin Qi, Haochen Feng, Baisheng Lai

    q-bio.GN · cs.AI

    Predicting transcriptional responses to specific perturbations is critical for understanding cellular regulatory mechanisms and accelerating drug discovery. Single-cell RNA sequencing destroys each measured cell, yielding only unpaired populations of control and perturbed cells. However, existing methods typically model perturbation prediction at the single-cell level and assume cell-to-cell correspondence, which conflicts with the unpaired...

    arxiv.org/abs/2609.01357 · PDF

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