Back to search

Article

Predicting how perturbations reshape cellular trajectories with PerturbGen

2026-03-05

Abstract excerpt

A major challenge in biology is predicting how cells transition between states over time and how perturbations disrupt these transitions. Understanding such dynamics is critical for identifying interventions that reverse pathological programs or reprogram cells toward desired states. Although recent computational approaches can predict single-cell perturbation responses in silico , they cannot predict responses a...

Topics

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

Identifiers and source

Literature Corpus work
4f08b634-93bc-5129-96c5-7c8c32e84f80
DOI
10.64898/2026.03.04.709254
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.
Predicting how perturbations reshape cellular trajectories with PerturbGenDOI 10.64898/2026.03.04.709254
Select a neighboring publication to make it the new centre.