Back to search

Article

TRAILBLAZER: generative multicellular perturbation model of biology

2026-03-18

Abstract excerpt

<h4>ABSTRACT</h4> Single-cell foundation models are reshaping biology by learning transferable representations of cellular state from millions of profiles. These models support annotation, denoising, cross-modal mapping and, increasingly, prediction of responses to genetic or pharmacological perturbations. Despite this progress, most approaches treat cells as independent observations and ignore the multicellular...

Topics

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

Identifiers and source

Literature Corpus work
3bdfd6e9-6639-5f11-b045-4eddf0a94b9f
DOI
10.64898/2026.03.14.711710
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.
TRAILBLAZER: generative multicellular perturbation model of biologyDOI 10.64898/2026.03.14.711710
Select a neighboring publication to make it the new centre.