DESCRIPTION

Package: curatedPCaData
Title: Curated Prostate Cancer Data
Version: 1.1.2
Date: 2024-01-10
Authors@R: c(person("Teemu Daniel", "Laajala", email = "teelaa@utu.fi", 
        role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7016-7354")),
    person("Jordan", "Creed", email = "jordan.h.creed@moffitt.org", 
		role = "ctb"),
    person("Christelle", "Colin Leitzinger", email = 
	    "christelle.colinleitzinger@moffitt.org", role = "ctb"),
    person("Varsha", "Sreekanth", email = "varsha.sreekanth@cuanschutz.edu", 
	    role = "ctb"), 
    person("Federico", "Calboli", email = "federico.calboli@luke.fi", 
	    role = "ctb"),
    person("Kalaimathy", "Singaravelu", email = "kalsin@utu.fi", role = "ctb"),
    person("Michael", "Orman", email = "michael.orman@cuanschutz.edu", 
	    role = "ctb"),
    person("Alex", "Soupir", email = "Alex.Soupir@moffitt.org", role = "ctb"),
    person("Anni", "Halkola", email = "ansuha@utu.fi", role = "ctb"))
Description: 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.
License: CC BY 4.0
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
biocViews: ExperimentHub, ExperimentData, ProstateCancerData, CancerData, 
    Homo_sapiens_Data, MicroarrayData, RNASeqData, ExpressionData, 
	CopyNumberVariationData, Somatic, GEO, ReproducibleResearch
URL: https://github.com/Syksy/curatedPCaData
BugReports: https://github.com/Syksy/curatedPCaData/issues
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