Back to search

Article

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

2026-08-24

Abstract excerpt

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 restricted to within-screen identity recovery. Here we introduce RevPert, a gallery-native reverse pertur...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4f33b7ce-6afb-57da-a094-99ae5b3af619
DOI
10.64898/2026.08.19.745674
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
RevPert: ranking candidate drivers of transcriptomic state transitions via gallery-native reverse perturbationDOI 10.64898/2026.08.19.745674
Select a neighboring publication to make it the new centre.