Back to search

Article

Diagnostic Evidence Gauge of Spatial Transcriptomics (DEGAS): Using transfer learning to map clinical data to spatial transcriptomics in prostate cancer

2023-04-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Spatial and single-cell transcriptomics have revealed significant heterogeneity in tumor and normal tissues. Each approach has its advantages: The Visium platform for spatial transcriptomics (ST) offers lower resolution than single-cell analysis, but histology enables the examination of cell morphology, tissue architecture, and potential cell-cell interactions. Single-cell t...

Topics

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

Identifiers and source

Literature Corpus work
fb8e0ebd-dfa3-5cc4-beb2-e1e751cdfa26
DOI
10.1101/2023.04.21.537852
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.
Diagnostic Evidence Gauge of Spatial Transcriptomics (DEGAS): Using transfer learning to map clinical data to spatial transcriptomics in prostate cancerDOI 10.1101/2023.04.21.537852
Select a neighboring publication to make it the new centre.