Back to search

Article

MixOmics Integration of Biological Datasets Identifies Highly Correlated Key Variables of COVID-19 severity

2023-09-15

Abstract excerpt

<h4>Background</h4> Despite several years since the COVID-19 pandemic was declared, challenges remain in understanding the factors that can predict the severity of COVID-19 disease and complications of SARS-CoV-2 infection. While many large-scale Multiomic datasets have been published, integration of these datasets has the potential to substantially increase the biological insight gained allowing a more complex c...

Topics

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

Identifiers and source

Literature Corpus work
270008ed-d7d4-5a13-8797-2c8680c06284
DOI
10.1101/2023.09.14.557558
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.
MixOmics Integration of Biological Datasets Identifies Highly Correlated Key Variables of COVID-19 severityDOI 10.1101/2023.09.14.557558
Select a neighboring publication to make it the new centre.