Back to search

Article

Randomized Spatial PCA (RASP): a computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data

2024-12-22

Abstract excerpt

Spatial transcriptomics (ST) provides critical insights into the spatial organization of gene expression, enabling researchers to unravel the intricate relationship between cellular environments and biological function. Identifying spatial domains within tissues is key to understanding tissue architecture and mechanisms underlying development and disease progression. Here, we present Randomized Spatial PCA (RASP),...

Topics

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

Identifiers and source

Literature Corpus work
e3d132a6-7f2b-5963-a5c9-b400e0afda61
DOI
10.1101/2024.12.20.629785
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.
Randomized Spatial PCA (RASP): a computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics dataDOI 10.1101/2024.12.20.629785
Select a neighboring publication to make it the new centre.