DOI: 10.18129/B9.bioc.MultiAssayExperiment    

Software for the Integration of Multi-omics Experiments in Bioconductor

Bioconductor version: Release (3.6)

Multi-assay 'omics experiments on a set of samples are increasingly commonplace in biomedical research. MultiAssayExperiment implements data structures and methods for representing, manipulating, and integrating multi-assay experiments via efficient construction, subsetting, and extraction operations. These methods are implemented matching Bioconductor user experience by straightforward extending concept and design of single-assay classes such as SummarizedExperiment or ExpressionSet.

Author: Marcel Ramos [aut, cre], Levi Waldron [aut], MultiAssay SIG [ctb]

Maintainer: Marcel Ramos <marcel.ramos at>

Citation (from within R, enter citation("MultiAssayExperiment")):


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PDF MultiAssayExperiment_cheatsheet.pdf
HTML R Script Coordinating Analysis of Multi-Assay Experiments
HTML R Script HDF5Array and MultiAssayExperiment
HTML R Script Quick-start Guide
PDF   Reference Manual
Text   NEWS


biocViews DataRepresentation, Infrastructure, Software
Version 1.4.9
In Bioconductor since BioC 3.4 (R-3.3) (1.5 years)
License Artistic-2.0
Depends R (>= 3.4.0)
Imports methods, GenomicRanges(>= 1.25.93), BiocGenerics, SummarizedExperiment(>= 1.3.81), S4Vectors, IRanges, Biobase, reshape2, shinydashboard, shiny, stats, tidyr, utils
Suggests BiocStyle, testthat, knitr, R.rsp, GenomicFiles, HDF5Array, RaggedExperiment, rmarkdown, UpSetR, survival, survminer
Depends On Me curatedTCGAData, yriMulti
Imports Me ELMER, GOpro
Suggests Me brgedata, MultiDataSet, RaggedExperiment, RTCGAToolbox
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