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scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data
[article]
2022
bioRxiv
pre-print
Quantitative assessment of single cell fluxome is critical for understanding the metabolic heterogeneity in diseases. Unfortunately, single cell fluxomics using laboratory approaches is currently infeasible, and none of the current flux estimation tools could achieve single cell resolution. In light of the natural associations between transcriptomic and metabolomic profiles, it remains both a feasible and urgent task to use the available single cell transcriptomics data for prediction of single
doi:10.1101/2022.06.18.496660
fatcat:wlxlsx3tpjdltdgd7ugh52jooa