DOI: 10.18129/B9.bioc.MultiAssayExperiment    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see MultiAssayExperiment.

Software for the integration of multi-omics experiments in Bioconductor

Bioconductor version: 3.7

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.

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

Maintainer: Marcel Ramos <marcel.ramos at>

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


biocViews DataRepresentation, Infrastructure, Software
Version 1.6.0
In Bioconductor since BioC 3.4 (R-3.3) (2 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports methods, GenomicRanges(>= 1.25.93), BiocGenerics, SummarizedExperiment(>= 1.3.81), S4Vectors(>= 0.17.5), IRanges, Biobase, stats, tidyr, utils
Suggests BiocStyle, testthat, knitr, rmarkdown, R.rsp, HDF5Array, RaggedExperiment, UpSetR, survival, survminer
Depends On Me ClassifyR, curatedTCGAData, hipathia, InTAD, missRows, yriMulti
Imports Me CAGEr, ELMER, GOpro, omicsPrint, TCGAutils
Suggests Me BiocOncoTK, brgedata, MultiDataSet, RaggedExperiment
Links To Me
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