- Use genome scale metabolic model and FBA (Flux balance analysis) to derive 13,082 metabolic fluxes for bulk and single cell RNA-seq datasets
- Discover different modes of metabolic cooperation and competition in single-cell RNA-seq data
- Enable massive public RNA-seq datasets mining in cancer metabolism
Check out the full paper for more detailed methods and applications: Characterizing metabolism from bulk and single-cell RNA-seq data using METAFlux
METAFlux R package can be easily installed from Github using devtools:
devtools::install_github('KChen-lab/METAFlux')
- Install the osqp package for optimization using
install.packages('osqp')
, If you encounter any issue during METAFlux installation. - Install the dplyr package using
install.packages('dplyr')
. - For single cell data analysis, we provide pipeline to work with Seurat(Seurat V4). Please install Seurat package
by
install.packages('Seurat')
.
Please check out this link for a full tutorial on using METAFlux: