Back to search

Article

Subpopulation identification for single-cell RNA-sequencing data using functional data analysis

2019-09-12

Abstract excerpt

<h4>Background</h4> In single-cell RNA-sequencing (scRNA-seq) data analysis, a number of statistical tools in multivariate data analysis (MDA) have been developed to help analyze the gene expression data. This MDA approach is typically focused on examining discrete genomic units of genes that ignores the dependency between the data components. In this paper, we propose a functional data analysis (FDA) approach on...

Topics

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

Identifiers and source

Literature Corpus work
d641bd29-8239-5da7-bae9-de0fb8879d57
DOI
10.1101/760413
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.
Subpopulation identification for single-cell RNA-sequencing data using functional data analysisDOI 10.1101/760413
Select a neighboring publication to make it the new centre.