Back to search

Article

Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data

2020-02-02

Abstract excerpt

<h4>Motivation</h4> Single-cell RNA-seq analysis has emerged as a powerful tool for understanding inter-cellular heterogeneity. Due to the inherent noise of the data, computational techniques often rely on dimensionality reduction (DR) as both a pre-processing step and an analysis tool. Ideally, dimensionality reduction should preserve the biological information while discarding the noise. However if the dimensio...

Topics

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

Identifiers and source

Literature Corpus work
36d00e74-e50d-5386-a9d2-7c9235a9b344
DOI
10.1101/2020.01.31.927921
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.
Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq dataDOI 10.1101/2020.01.31.927921
Select a neighboring publication to make it the new centre.