Article

Simulating single-cell metabolism using a stochastic flux-balance analysis algorithm

2020-05-26

Abstract excerpt

<h4>ABSTRACT</h4> Stochasticity from gene expression in single cells is known to drive metabolic heterogeneity at the level of cellular populations, which is understood to have important consequences for issues such as microbial drug tolerance and treatment of human diseases like cancer. Despite considerable advancements in profiling the genomes, transcriptomes, and proteomes of single cells, it remains difficult...

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Literature Corpus work: 1926481d-1519-5d14-bf86-247b78127d6b
DOI: 10.1101/2020.05.22.110577

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