Back to search

Article

SEDIST: Spatially Enhanced Domain Identification through Spatial Transcriptomics

2025-05-19

Abstract excerpt

<title>Abstract</title> <p>Motivation: The recent advancement of spatially resolved transcriptomics provides a way to investigate cellular heterogeneity and tissue micro-environment using gene expression profiles with spatial context, often accommodated with histological data. However, precise spatial domain identification, multisample integration, and cellular decomposition still remain challenging. Results He...

Topics

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

Identifiers and source

Literature Corpus work
6fb347c1-c24a-5054-86e1-9cb8affc2e67
DOI
10.21203/rs.3.rs-6619020/v1
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.
SEDIST: Spatially Enhanced Domain Identification through Spatial TranscriptomicsDOI 10.21203/rs.3.rs-6619020/v1
Select a neighboring publication to make it the new centre.