Back to search

Article

SCENIC: Single-cell regulatory network inference and clustering

2017-05-31

Abstract excerpt

Single-cell RNA-seq allows building cell atlases of any given tissue and infer the dynamics of cellular state transitions during developmental or disease trajectories. Both the maintenance and transitions of cell states are encoded by regulatory programs in the genome sequence. However, this regulatory code has not yet been exploited to guide the identification of cellular states from single-cell RNA-seq data. Her...

Topics

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

Identifiers and source

Literature Corpus work
c31e6414-df5c-5f0a-9ad0-d3ac75f99424
DOI
10.1101/144501
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.
SCENIC: Single-cell regulatory network inference and clusteringDOI 10.1101/144501
Select a neighboring publication to make it the new centre.