Back to search

Article

Integrative, high-resolution analysis of single cell gene expression across experimental conditions with PARAFAC2-RISE

2024-07-30

Abstract excerpt

Effective and scalable exploration and analysis tools are vital for the extraction of insights from large-scale single-cell data. However, current techniques for modeling single-cell studies performed across experimental conditions (e.g., samples, perturbations, or patients) require restrictive assumptions, lack flexibility, or do not adequately deconvolute condition-to-condition variation from cell-to-cell variat...

Topics

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

Identifiers and source

Literature Corpus work
fabbc0a5-a0f4-5f36-8fbf-907b34d3752a
DOI
10.1101/2024.07.29.605698
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.
Integrative, high-resolution analysis of single cell gene expression across experimental conditions with PARAFAC2-RISEDOI 10.1101/2024.07.29.605698
Select a neighboring publication to make it the new centre.