It also allows the user to take the ScoresList output of
featureScores, and do their own custom clustering on the coverage matrices,
then save the clustering results in this container.
ClusteredScoresList(x, anno = x@anno, scores = tables(x),
expr = NULL, expr.name = NULL,
cluster.id, sort.name = NULL, sort.data = NULL)
Creates a ClusteredScoresList object.
xScoresList object.annoGRanges object. Give this value
if only a subset of features was used for clustering.scoresx were modified before clustering.exprexpr.namecluster.idsort.datasort.namex is a ClusteredScoresList object. x[i]
Creates a ClusteredScoresList object, keeping only the i matrices.
subsetRows(x, i = NULL)
Creates a ClusteredScoresList object, keeping only the i features.
clusters(x)
Creates a ClusteredScoresList object, keeping only the i features.
x is a ClusteredScoresList object. clusters(x)
Get the cluster ID of each feature.