Cargando…
Advances in flux balance analysis by integrating machine learning and mechanism-based models
The availability of multi-omics data sets and genome-scale metabolic models for various organisms provide a platform for modeling and analyzing genotype-to-phenotype relationships. Flux balance analysis is the main tool for predicting flux distributions in genome-scale metabolic models and various d...
Autores principales: | Sahu, Ankur, Blätke, Mary-Ann, Szymański, Jędrzej Jakub, Töpfer, Nadine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382995/ https://www.ncbi.nlm.nih.gov/pubmed/34471504 http://dx.doi.org/10.1016/j.csbj.2021.08.004 |
Ejemplares similares
-
Editorial: Advances in Applied Bioinformatics in Crops
por: Blätke, Mary-Ann, et al.
Publicado: (2021) -
BioModelKit – An Integrative Framework for Multi-Scale Biomodel-Engineering
por: Blätke, Mary-Ann
Publicado: (2018) -
Integration of time-resolved transcriptomics data with flux-based methods reveals stress-induced metabolic adaptation in Escherichia coli
por: Töpfer, Nadine, et al.
Publicado: (2012) -
Evolution of C4 photosynthesis predicted by constraint-based modelling
por: Blätke, Mary-Ann, et al.
Publicado: (2019) -
A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria
por: Vijayakumar, Supreeta, et al.
Publicado: (2020)