Author

Shi-Yang Liang

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Open access Sep 2026

RevPert: predicting candidate drivers of transcriptomic state transitions via gallery-native reverse perturbation

RevPert is a gallery-native reverse perturbation model that predicts candidate drivers from a fixed genetic catalog for a query contrast ΔY ⋆ = YB −YA by combining signed Pearson connectivity with a learned residual, and couples within-screen reverse prediction to a screen-external signed-geometry check.

Shi-Yang Liang, Cheng Yang, Jingjie Wang et al. · bioRxiv · 0 citations

Open access Aug 2026

RevPert: ranking candidate drivers of transcriptomic state transitions via gallery-native reverse perturbation

Cellular state transitions underlie adaptation, ageing and disease, yet prioritizing catalogued genetic perturbations whose expression signatures match an observed transcriptomic shift remains difficult. Most models predict phenotype from a nominated intervention, whereas genetic inverse benchmarks are largely restrict...

Shiyang Liang, Chen Yang, Jingjie Wang et al. · bioRxiv · 0 citations