Back to search

Article

Localgini: A method for harnessing inequality in gene expression to improve the quality of context-specific models

2023-09-17

Abstract excerpt

Genome-scale metabolic models (GEMs) are valuable tools for investigating normal and disease phenotypes of biological systems through the prediction of fluxes in biochemical reactions. However, in specific contexts such as different cell lines, tissues, or diseases, only a subset of reactions is active. To address this, several model extraction methods (MeMs) have been developed to filter the reactions in GEMs and...

Topics

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

Identifiers and source

Literature Corpus work
6df80767-033b-581b-9eeb-8b382d328260
DOI
10.1101/2023.09.14.557840
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.
Localgini: A method for harnessing inequality in gene expression to improve the quality of context-specific modelsDOI 10.1101/2023.09.14.557840
Select a neighboring publication to make it the new centre.