Back to search

Article

SPOTlight: Seeded NMF regression to Deconvolute Spatial Transcriptomics Spots with Single-Cell Transcriptomes

2020-06-04

Abstract excerpt

The integration of orthogonal data modalities greatly supports the interpretation of transcriptomic landscapes in complex tissues. In particular, spatially resolved gene expression profiles are key to understand tissue organization and function. However, spatial transcriptomics (ST) profiling techniques lack single-cell resolution and require a combination with single-cell RNA sequencing (scRNA-seq) information to...

Topics

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

Identifiers and source

Literature Corpus work
4f4b9622-62ca-52e5-b589-d4463c51b234
DOI
10.1101/2020.06.03.131334
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.
SPOTlight: Seeded NMF regression to Deconvolute Spatial Transcriptomics Spots with Single-Cell TranscriptomesDOI 10.1101/2020.06.03.131334
Select a neighboring publication to make it the new centre.