Back to search

Article

Secondary Analysis of Transcriptomes of SARS-CoV-2 Infection Models to Characterize COVID-19

2020-12-29

Abstract excerpt

Standard transcriptomic analyses alone have limited power in capturing the molecular mechanisms driving disease pathophysiology and outcomes. To overcome this, unsupervised network analyses are used to identify clusters of genes that can be associated with distinct molecular mechanisms and outcomes for a disease. In this study, we developed an integrated network analysis framework that integrates transcriptional s...

Topics

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

Identifiers and source

Literature Corpus work
7e965b9b-ff80-5b07-8dc2-b54d4ed424b1
DOI
10.2139/ssrn.3757073
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.
Secondary Analysis of Transcriptomes of SARS-CoV-2 Infection Models to Characterize COVID-19DOI 10.2139/ssrn.3757073
Select a neighboring publication to make it the new centre.