View source: R/PCAGenomicSignatures-methods.R
PCAGenomicSignatures | R Documentation |
PCAGenomicSignatures
objectThe 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$studies
should be populated before adding any
information in trainingData
slot
PCAGenomicSignatures(..., trainingData)
... |
Additional arguments for supporting functions. |
trainingData |
A |
RAVindex(x) : RAVindex (= avgLoadings) containing genes x RAVs
metadata(x)$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)$gsea : A list of data frames. Each element is a subset
of outputs from clusterProfiler::GSEA
function.
PCAGenomicSignatures object with multiple setters or accessors
trainingData
A DataFrame
class object for
metadata associated with training data
Setter method values (i.e., function(x) <- value
):
geneSets<- : A character vector containing the name of gene sets used to annotate average loadings
studies<- : A list of character vectors containing gene sets used to annotate average loadings
gsea<- : A list of data frames. Each element is a subset of output
from gseaResult
objects.
metadata<- : A list
object of metadata
'$<-' : A vector to replace the indicated column in colData
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
data(miniRAVmodel)
miniRAVmodel
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