Article

GEMCAT – A new algorithm for gene expression-based prediction of metabolic alterations

2024-01-16

Abstract excerpt

<h4>ABSTRACT</h4> The conclusive interpretation of multi-omics datasets obtained from high throughput approaches is an important prerequisite to understand disease-related physiological changes and to predict biomarkers in body fluids. We here present a Gene Expression-based Metabolite Centrality Analysis Tool, GEMCAT, a new genome scale metabolic modelling algorithm. GEMCAT enables integration of transcriptomics...

Topics

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

Identifiers and source

Literature Corpus work: 2df29405-4012-5226-b77e-f0bdbab2a670
DOI: 10.1101/2024.01.15.575710

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

GEMCAT – A new algorithm for gene expression-based prediction of metabolic alterationsDOI 10.1101/2024.01.15.575710Read

Distinct metabolic network states manifest in the gene expression profiles of pediatric inflammatory bowel disease patients and controls.Semantic proximity Read

A Mechanistic Model for Genome-Scale Estimations of Metabolic ActivitySemantic proximity Read

RMetD2: a tool for integration of relative transcriptomics data into Genome-scale metabolic modelsSemantic proximity Read

A new genome-scale model enables prediction of cancer metabolic dependenciesSemantic proximity Read

Genome scale metabolic network modelling for metabolic profile predictionsSemantic proximity Read

Identification and Integration of Key-Metabolic Reactions from Untargeted MetabolomicsSemantic proximity Read

Differential metabolic activity and discovery of therapeutic targets using summarized metabolic pathway modelsSemantic proximity Read

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation dataSemantic proximity Read

netome: a computational framework for metabolite profiling and omics network analysisSemantic proximity Read

Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolismSemantic proximity Read

Using the reconstructed genome-scale human metabolic network to study physiology and pathology.Semantic proximity Read

Curating MitoCore: A Standardized Small-Scale Human Metabolic Model as Platform for Proteomics Integration and Disease ModelingSemantic proximity Read