New Results
Leveraging the mass balances of cellular metabolism to infer absolute concentrations from relative abundance metabolomics data
View ORCID ProfileJustin Y. Lee, View ORCID ProfileMark P. Styczynski
doi: https://doi.org/10.1101/2021.05.13.444095
Justin Y. Lee
1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Mark P. Styczynski
1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Article usage
Posted May 16, 2021.
Leveraging the mass balances of cellular metabolism to infer absolute concentrations from relative abundance metabolomics data
Justin Y. Lee, Mark P. Styczynski
bioRxiv 2021.05.13.444095; doi: https://doi.org/10.1101/2021.05.13.444095
Subject Area
Subject Areas
- Biochemistry (11689)
- Bioengineering (8711)
- Bioinformatics (29099)
- Biophysics (14916)
- Cancer Biology (12045)
- Cell Biology (17333)
- Clinical Trials (138)
- Developmental Biology (9401)
- Ecology (14128)
- Epidemiology (2067)
- Evolutionary Biology (18251)
- Genetics (12208)
- Genomics (16745)
- Immunology (11832)
- Microbiology (27969)
- Molecular Biology (11535)
- Neuroscience (60734)
- Paleontology (450)
- Pathology (1863)
- Pharmacology and Toxicology (3224)
- Physiology (4933)
- Plant Biology (10374)
- Synthetic Biology (2875)
- Systems Biology (7326)
- Zoology (1639)