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curatedPCaData

Curated Prostate Cancer Data

Bioconductor version: 3.23 · Package version: 1.8.0

The package curatedPCaData offers a selection of annotated prostate cancer datasets featuring multiple omics, manually curated metadata, and derived downstream variables. The studies are offered as MultiAssayExperiment (MAE) objects via ExperimentHub, and comprise of clinical characteristics tied to gene expression, copy number alteration and somatic mutation data. Further, downstream features computed from these multi-omics data are offered. Multiple vignettes help grasp characteristics of the various studies and provide example exploratory and meta-analysis of leveraging the multiple studies provided here-in.

Installation

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

BiocManager::install("curatedPCaData")

Details

MaintainerTeemu Daniel Laajala <teelaa@utu.fi>
AuthorTeemu Daniel Laajala [aut, cre] (ORCID: <https://orcid.org/0000-0002-7016-7354>), Jordan Creed [ctb], Christelle Colin Leitzinger [ctb], Varsha Sreekanth [ctb], Federico Calboli [ctb], Kalaimathy Singaravelu [ctb], Michael Orman [ctb], Alex Soupir [ctb], Anni Halkola [ctb]
LicenseCC BY 4.0
URLhttps://github.com/Syksy/curatedPCaData
Bug Reportshttps://github.com/Syksy/curatedPCaData/issues
Downloads rank104
Source branchRELEASE_3_23
biocViewsCancerData, CopyNumberVariationData, ExperimentData, ExperimentHub, ExpressionData, GEO, Homo_sapiens_Data, MicroarrayData, ProstateCancerData, RNASeqData, ReproducibleResearch, Somatic

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Dependencies

Depends: R (>= 4.4.0), S4Vectors (>= 0.23.18), MultiAssayExperiment, RaggedExperiment

Imports: ExperimentHub, AnnotationHub, utils, methods, rlang, stats, reshape2

Suggests: BiocStyle, knitr, ggplot2, rmarkdown, survival, survminer, ComplexHeatmap, corrplot, formatR