Back to search

Article

SC3 - consensus clustering of single-cell RNA-Seq data

2016-01-13

Abstract excerpt

Using single-cell RNA-seq (scRNA-seq), the full transcriptome of individual cells can be acquired, enabling a quantitative cell-type characterisation based on expression profiles. However, due to the large variability in gene expression, identifying cell types based on the transcriptome remains challenging. We present Single-Cell Consensus Clustering (SC3), a tool for unsupervised clustering of scRNA-seq data. SC3...

Topics

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

Identifiers and source

Literature Corpus work
2d98ea84-ed58-555e-bda3-9ba5497bef2c
DOI
10.1101/036558
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.
SC3 - consensus clustering of single-cell RNA-Seq dataDOI 10.1101/036558
Select a neighboring publication to make it the new centre.