Article
Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
2022-04-26
Abstract excerpt
Single-cell RNA sequencing has the potential to unravel the differences in metabolism across cell types and cell states in both the healthy and diseased human body. The use of existing knowledge in the form of genome-scale metabolic models (GEMs) holds promise to strengthen such analyses, but the combined use of these two methods requires new computational methods. Here, we present a method for generating cell-typ...
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Identifiers and source
- Literature Corpus work
- c62ef80c-ab3a-5220-827a-56aec529b538
- DOI
- 10.1101/2022.04.25.489379
