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.
x
ScoresList
object.anno
GRanges
object. Give this value
if only a subset of features was used for clustering.scores
x
were modified before clustering.expr
expr.name
cluster.id
sort.data
sort.name
x
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.