Back to search

Article

Identifying Metabolic Shifts in Crohn's Disease Using' Omics-Driven Contextualized Computational Metabolic Network Models

2022-06-13

Abstract excerpt

Crohn's disease (CD) is a chronic inflammatory disease of the gastrointestinal tract. A clear gap in our existing CD diagnostics and current disease management approaches is the lack of highly specific biomarkers that can be used to streamline or personalize disease management. Comprehensive profiling of metabolites holds promise; however, these high dimensional profiles need to be reduced to have relevance in the...

Topics

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

Identifiers and source

Literature Corpus work
e1760859-ec6f-50f3-afcb-c3878473437a
DOI
10.21203/rs.3.rs-1709361/v1
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.
Identifying Metabolic Shifts in Crohn's Disease Using' Omics-Driven Contextualized Computational Metabolic Network ModelsDOI 10.21203/rs.3.rs-1709361/v1
Select a neighboring publication to make it the new centre.