Article

Distance metrics for genome-scale metabolic models

2019-09-05

Abstract excerpt

<title>Abstract</title> <p>Background: Due to algorithmic advancements and to the availability of experimental datasets, large collections of genome-scale metabolic models (GSMM) can nowadays be generated automatically. Nevertheless, few tools are available to efficiently analyze such large sets of models, for example to study the link between genetic and metabolic heterogeneity. Machine Learning (ML) algorithms...

Topics

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

Identifiers and source

Literature Corpus work: b227cb7f-39fb-5bd5-9c89-681341add966
DOI: 10.21203/rs.2.10792/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Distance metrics for genome-scale metabolic modelsDOI 10.21203/rs.2.10792/v1Read

Scalable metabolic pathway analysisSemantic proximity Read

Characterization of metabolic phenotypes in breast cancer through the integration of genome-scale metabolic models and machine learningSemantic proximity Read

GEMCAT – A new algorithm for gene expression-based prediction of metabolic alterationsSemantic proximity Read

A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scaleSemantic proximity Read

Construction of Multiscale Genome-Scale Metabolic Models: Frameworks and Challenges.Semantic proximity Read

On the inconsistent treatment of gene-protein-reaction rules in context-specific metabolic modelsSemantic proximity Read

Learning the Relationship Between Variants, Metabolic Fluxes and PhenotypesSemantic proximity Read

Pathway-based and phylogenetically adjusted quantification of metabolic interaction between microbial speciesSemantic proximity Read

Scalable enumeration and sampling of minimal metabolic pathways for organisms and communitiesSemantic proximity Read

ΔFBA: Predicting metabolic flux alterations using genome-scale metabolic models and differential transcriptomic dataSemantic proximity Read

CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networksSemantic proximity Read

Quantifying cumulative phenotypic and genomic evidence for procedural generation of metabolic network reconstructions.Semantic proximity Read