Back to search

Article

SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics

2026-06-26

Abstract excerpt

Spatially resolved transcriptomic (SRT) data requires spatial domain identification to enable tissue microenvironment-specific downstream analyses. Here we present SPEAK (Spatial Prompting with Expert-Aligned Knowledge), a large language model (LLM)-based method to identify spatial domains from SRT data by taking advantage of the prior knowledge from both LLM and human experts. SPEAK constructs a spatial context p...

Topics

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

Identifiers and source

Literature Corpus work
70adf3f2-a0cc-5678-b823-409e68897344
DOI
10.64898/2026.06.22.733750
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.
SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial TranscriptomicsDOI 10.64898/2026.06.22.733750
Select a neighboring publication to make it the new centre.