We recommend installing the stable release version of MultiAssayExperiment in Bioconductor. This can be done using
if (!require("BiocManager")) install.packages("BiocManager") library(BiocManager) install("MultiAssayExperiment")
Here is a visual overview of the
MultiAssayExperiment class. The three main components are:
colData- phenotype data
ExperimentList- a list of tables from experimental results
sampleMap- a graph representation of ‘samples’ and ‘participants’
Note. For simplicity, we use the terms ‘samples’ and ‘participants’ to elucidate the relationship although
MultiAssayExperiment can work on other biological specimens.
For easy-to-use and ready-made MultiAssayExperiment objects, use the
curatedTCGAData experiment data package.
TCGAutils is a handy package for working with
MultiAssayExperiment data objects from
curatedTCGAData. It is highly recommended to use
TCGAutils for identifier manipulation, sample identification and more.
MultiAssayExperiment API is available by browsing to the API wiki.
MultiAssayExperimentBioconductor Special Interest Group
This group meets remotely to discuss this project approximately every 3 weeks. If you are interested, please join the MultiAssayExperiment Google Group and see the calendar of upcoming meetings.
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