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.
For easy-to-use and ready-made MultiAssayExperiment objects, use the
curatedTCGAData
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.
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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This Code of Conduct is adapted from the Contributor Covenant, version 1.0.0, available at http://contributor-covenant.org/version/1/0/0/