Back to search

Article

Phenotype-associated spatial biomarker discovery in spatial transcriptomics with spHOT

2026-08-17

Abstract excerpt

Spatial transcriptomics now profiles patient cohorts at single-cell resolution, enabling analysis of disease-associated cell organization in situ. However, discovering such spatial biomarkers remains challenging because relevant structures occur at unknown scales and cell-or niche-level annotations are rarely available. We present spHOT, a deep learning framework that localizes phenotype-associated spatial biomark...

Topics

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

Identifiers and source

Literature Corpus work
f2d282b5-4df5-5d52-ba21-d181bb1175dc
DOI
10.64898/2026.08.11.744312
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.
Phenotype-associated spatial biomarker discovery in spatial transcriptomics with spHOTDOI 10.64898/2026.08.11.744312
Select a neighboring publication to make it the new centre.