Back to search

Article

Four-Dimensional Sparse Bayesian Tensor Decomposition for Gene Expression Data

2020-11-30

Abstract excerpt

Disease etiology may be better understood through the study of gene expression in four dimensional (4D) experiments that consist of measurements on multiple individuals, genes, tissues and under multiple conditions or through time. We have developed a sparse Bayesian four dimensional tensor decomposition method aimed at uncovering latent components or gene networks that could be linked to genetic variation. We use...

Topics

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

Identifiers and source

Literature Corpus work
f9ae1aac-744e-5689-8f20-24833f39c980
DOI
10.1101/2020.11.30.403907
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.
Four-Dimensional Sparse Bayesian Tensor Decomposition for Gene Expression DataDOI 10.1101/2020.11.30.403907
Select a neighboring publication to make it the new centre.