Back to search

Article

Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF

2019-04-14

Abstract excerpt

<h4>ABSTRACT</h4> The rapid proliferation of single-cell RNA-Sequencing (scRNA-Seq) technologies has spurred the development of diverse computational approaches to detect transcriptionally coherent populations. While the complexity of the algorithms for detecting heterogeneity have increased, most existing algorithms require significant user-tuning, are heavily reliant on dimensionality reduction techniques and a...

Topics

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

Identifiers and source

Literature Corpus work
799c2fc8-3a4d-5c93-a7c0-587ef954139b
DOI
10.1101/608869
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.
Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMFDOI 10.1101/608869
Select a neighboring publication to make it the new centre.