Back to search

Article

Discriminating the Single-cell Gene Regulatory Networks of Human Pancreatic Islets: A Novel Deep Learning Application

2020-08-31

Abstract excerpt

Analyzing single-cell pancreatic data would play an important role in understanding various metabolic diseases and health conditions. Due to the sparsity and noise present in such single-cell gene expression data, analyzing various functions related to the inference of gene regulatory networks, derived from single-cell data, remains difficult, thereby posing a barrier to the deepening of understanding of cellular...

Topics

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

Identifiers and source

Literature Corpus work
ac0adfab-039d-5b06-942b-a0644d6aa878
DOI
10.1101/2020.08.30.273839
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.
Discriminating the Single-cell Gene Regulatory Networks of Human Pancreatic Islets: A Novel Deep Learning ApplicationDOI 10.1101/2020.08.30.273839
Select a neighboring publication to make it the new centre.