PCAGenomicSignatures {GenomicSuperSignature}

R Documentation

Construct PCAGenomicSignatures object

Description

The default contents of PCAGenomicSignatures object, with a set of accessors and setter generic functions, which extract either the assay, colData, metadata, or trainingData slots of a PCAGenomicSignatures-class object. When you create this object, colData$studies should be populated before adding any information in trainingData slot

Usage

PCAGenomicSignatures(...)

Arguments

...	Additional arguments for supporting functions.

Details

• RAVindex(x) : RAVindex (= avgLoadings) containing genes x RAVs

• metadata(x)$cluster : A vector of integers (from 1:k) indicating the cluster to which each point is allocated.

• metadata(x)$size : The number of PCs in each cluster.

• metadata(x)$k : The number of RAVs.

• metadata(x)$n : The number of top PCs from each dataset.

• metadata(x)$geneSets : Name of the prior gene sets used to annotate average loadings.

• colData(x)$studies : A list of character vectors containing studies contributing to each PC cluster.

• colData(x)$silhouetteWidth : A numeric array of average silhouette widths of each clusters

• colData(x)$gsea : A list of data frames. Each element is a subset of outputs from clusterProfiler::GSEA function.

Value

PCAGenomicSignatures object with multiple setters or accessors

Slots

trainingData

A DataFrame class object for metadata associated with training data

Setters

Setter method values (i.e., function(x) <- value):

• geneSets<- : A character vector containing the name of gene sets used to annotate average loadings

• studies<- : A list of character vectors containing gene sets used to annotate average loadings

• gsea<- : A list of data frames. Each element is a subset of output from gseaResult objects.

• metadata<- : A list object of metadata

• '$<-' : A vector to replace the indicated column in colData

Accessors

All the accessors inherited from SummarizedExperiment are available and the additional accessors for PCAGenomicSignatures specific data are listed below.

• RAVindex : Equivalent to the assay(x)

• geneSets : Access the metadata(x)$geneSets slot

• studies : Access the colData(x)$studies slot

• gsea : Access the colData(x)$gsea

• '$' : Access a column in colData

• trainingData : Access the trainingData slot

• mesh : Access the trainingData(x)$MeSH slot

• PCAsummary : Access the trainingData(x)$PCAsummary slot

Examples

data(miniRAVmodel)
miniRAVmodel

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