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Bioconductor has a long tradition of robust data containers that offer flexible and efficient ways to manage complex biological datasets. Among these, SummarizedExperiment (SE) and MultiAssayExperiment (MAE) have proven to be very usefull across multiple fields.
SE is widely used for single-omics data and extended for specialized applications, such as microbiome research with the TreeSummarizedExperiment. MAE is used for managing data from multiple experiments, such as metagenomics and metabolomics.
Hello,
Bioconductor has a long tradition of robust data containers that offer flexible and efficient ways to manage complex biological datasets. Among these, SummarizedExperiment (SE) and MultiAssayExperiment (MAE) have proven to be very usefull across multiple fields.
SE is widely used for single-omics data and extended for specialized applications, such as microbiome research with the TreeSummarizedExperiment. MAE is used for managing data from multiple experiments, such as metagenomics and metabolomics.
SE: https://bioconductor.org/packages/release/bioc/html/SummarizedExperiment.html
MAE: https://www.bioconductor.org/packages/release/bioc/html/MultiAssayExperiment.html
Currently, mixOmics does not support SE or MAE. I think adding the support would provide several advantages:
-Tuomas
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