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MultiAssayExperiment - GitHub Installation We recommend installing the stable release version of MultiAssayExperiment in Bioconductor This can be done using BiocManager:
Bioconductor - MultiAssayExperiment MultiAssayExperiment implements data structures and methods for representing, manipulating, and integrating multi-assay experiments via efficient construction, subsetting, and extraction operations
MultiAssayExperiment · PyPI MultiAssayExperiment (MAE) simplifies the management of multiple experimental assays conducted on a shared set of specimens, follows Bioconductor's MAE R Package To get started, install the package from PyPI An MAE contains three main entities, Primary information (column_data): Bio-specimen sample information
Bioconductor - MultiAssayExperiment Develop an integrative environment where multiple assays are managed and preprocessed for genomic data analysis Author: MultiAssay SIG Maintainer: Marcel Ramos <marcel ramosperez at roswellpark org> Citation (from within R, enter citation ("MultiAssayExperiment")):
MultiAssayExperiment - Waldron Lab Installation 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")