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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
Open publication

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Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq dataDOI 10.1101/2022.04.25.489379
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