Back to search

Article

DiSCERN - Deep Single Cell Expression ReconstructioN for improved cell clustering and cell subtype and state detection

2022-03-09

Abstract excerpt

Single cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constraints, most notably a limited number of expressed genes per cell, which leads to suboptimal clustering and cell type identification. Here we present DISCERN, a novel deep generative network that reconstructs...

Topics

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

Identifiers and source

Literature Corpus work
17314574-9856-5986-b2b7-a91a4609a2d3
DOI
10.1101/2022.03.09.483600
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.
DiSCERN - Deep Single Cell Expression ReconstructioN for improved cell clustering and cell subtype and state detectionDOI 10.1101/2022.03.09.483600
Select a neighboring publication to make it the new centre.