Back to search

Article

Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks

2019-07-11

Abstract excerpt

Recent advances in single-cell RNA sequencing (scRNA-seq) have allowed researchers to explore transcriptional function at a cellular level. In this study, we present sc PPIN, a method for integrating single-cell RNA sequencing data with protein–protein interaction networks (PPINs) that detects active modules in cells of different transcriptional states. We achieve this by clustering RNA-sequencing data, identifyi...

Topics

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

Identifiers and source

Literature Corpus work
8078ba29-8f13-57c0-97c9-5279295fb9da
DOI
10.1101/698647
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.
Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networksDOI 10.1101/698647
Select a neighboring publication to make it the new centre.