Back to search

Article

Integrative inference of brain cell similarities and differences from single-cell genomics

2018-11-02

Abstract excerpt

<h4>Summary</h4> Defining cell types requires integrating diverse measurements from multiple experiments and biological contexts. Recent technological developments in single-cell analysis have enabled high-throughput profiling of gene expression, epigenetic regulation, and spatial relationships amongst cells in complex tissues, but computational approaches that deliver a sensitive and specific joint analysis of t...

Topics

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

Identifiers and source

Literature Corpus work
6fc227ac-027c-5e0c-a816-2f90aee168c7
DOI
10.1101/459891
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 inference of brain cell similarities and differences from single-cell genomicsDOI 10.1101/459891
Select a neighboring publication to make it the new centre.