GraphExperiment: infrastructure for high-dimensional quantitative data and associated networks in R/Bioconductor
Networks are widely used to represent relationships among features (e.g. genes, proteins, and microbial taxa) and among observations (e.g. cells, samples, and species) in omics data, as well as their neighborhoods. The Bioconductor ecosystem provides users and developers with modular and interoperable software tools by relying on standard data structures that are reused across packages. However,…
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