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curatedAdipoArray

A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations

Bioconductor version: 3.23 · Package version: 1.24.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

A curated dataset of Microarrays samples. The samples are MDI- induced pre-adipocytes (3T3-L1) at different time points/stage of differentiation under different types of genetic (knockdown/overexpression) and pharmacological (drug treatment) perturbations. The package documents the data collection and processing. In addition to the documentation, the package contains the scripts that was used to generated the data.

DOI: 10.18129/B9.bioc.curatedAdipoArray

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("curatedAdipoArray")

Details

MaintainerMahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>
AuthorMahmoud Ahmed [aut, cre] (ORCID: <https://orcid.org/0000-0002-4377-6541>)
LicenseGPL-3 + file LICENSE
URLhttps://github.com/MahShaaban/curatedAdipoArray
Bug Reportshttps://github.com/MahShaaban/curatedAdipoArray/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsExperimentData, ExperimentHub, GEO, MicroarrayData
Package Short Url https://bioconductor.org/packages/curatedAdipoArray/

Citation

From within R, enter citation("curatedAdipoArray"):

Mahmoud Ahmed. curatedAdipoArray: A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations. doi:10.18129/B9.bioc.curatedAdipoArray, R package version 1.24.0, https://bioconductor.org/packages/curatedAdipoArray.

Generated from the package metadata; it may differ from the package's own citation.

Download

Follow the installation instructions to use this package in your R session.

Source packagecuratedAdipoArray_1.24.0.tar.gz
Dependencies

Depends: R (>= 4.0)

Suggests: knitr, rmarkdown, ExperimentHub, SummarizedExperiment