Bioconductor package for management of multi-assay data
https://doi.org/10.1158/0008-5472.CAN-17-0344
We recommend installing the stable release version of MultiAssayExperiment in
Bioconductor. This can be done using BiocManager
:
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 dataExperimentList
- a list of tables from experimental resultssampleMap
- 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.
MultiAssayExperiment
objectsFor easy-to-use and ready-made MultiAssayExperiment objects, use thecuratedTCGAData
experiment data package.
install("curatedTCGAData")
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.
install("TCGAutils")
The MultiAssayExperiment
API is available by browsing to the
API wiki.
MultiAssayExperiment
Bioconductor Special Interest GroupThis 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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