Back to search

Article

Semi-automated annotation refinement accelerates cell type identification in brain spatial and single-cell studies

2026-08-04

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> single-cell and spatial omic techniques have enabled the investigation of cell type specific alterations in biologically complex tissues. In an effort to map cell taxonomies, large atlas-based studies and multi-laboratory consortia have created sets of annotated cell types. However, application of atlas- or database-level knowledge to individual studies is often resource-lim...

Topics

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

Identifiers and source

Literature Corpus work
33a911dc-4992-53e3-8a96-db261caff91e
DOI
10.64898/2026.07.30.741795
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.
Semi-automated annotation refinement accelerates cell type identification in brain spatial and single-cell studiesDOI 10.64898/2026.07.30.741795
Select a neighboring publication to make it the new centre.