Get or set the colTree of subsets in ExperimentSubset objects
Source:R/allGenerics.R, R/SubsetTreeSummarizedExperiment.R
subsetColTree.RdGet the column tree of a subset: its own, if it stores one;
otherwise that of the nearest subset it was made from that stores one;
otherwise the main object's. TreeSummarizedExperiment's
colTree takes no subsetName, so subsets use
subsetColTree.
subsetColTree<- stores a tree of the subset's own, linking each
column to the node whose label is the column's name in the subset,
without changing the main object or other subsets. Subsets made from
it use the tree too, unless they store their own. NULL removes
the subset's own tree. setSubsetExperiment also stores a column
tree that a tool changed, but not the removal of one, as a subset
always uses its own tree, a parent's or the main object's. A subset's
own tree is its only column tree, so get it with whichTree = 1.
rbind and cbind keep subsets' own trees;
combineCols and combineRows return classes without
trees (see ExperimentSubset-combine).
Usage
subsetColTree(x, subsetName, whichTree = 1)
subsetColTree(x, subsetName) <- value
# S4 method for class 'SubsetTreeSummarizedExperiment'
subsetColTree(x, subsetName, whichTree = 1)
# S4 method for class 'SubsetTreeSummarizedExperiment'
subsetColTree(x, subsetName) <- valueValue
For subsetColTree, a phylo tree, or NULL if
there is none. For subsetColTree<-, the input object with the
subset's tree stored.
Examples
# a small TreeSummarizedExperiment with a tree on its columns
data("tinyTree", package = "TreeSummarizedExperiment")
counts <- matrix(1:100, nrow = 10)
colnames(counts) <- tinyTree$tip.label
tse <- TreeSummarizedExperiment(assays = list(counts = counts),
colTree = tinyTree)
es <- ExperimentSubset(tse)
es <- createSubset(es, "subset1", cols = 1:5)
# store a tree with the same labels on other tips
ownTree <- tinyTree
ownTree$tip.label <- rev(tinyTree$tip.label)
subsetColTree(es, subsetName = "subset1") <- ownTree
subsetColTree(es, subsetName = "subset1")
#>
#> Phylogenetic tree with 10 tips and 9 internal nodes.
#>
#> Tip labels:
#> t3, t5, t1, t10, t8, t4, ...
#> Node labels:
#> Node_11, Node_12, Node_13, Node_14, Node_15, Node_16, ...
#>
#> Rooted; includes branch length(s).
subsetColLinks(es, subsetName = "subset1")
#> LinkDataFrame with 5 rows and 5 columns
#> nodeLab nodeNum nodeLab_alias isLeaf whichTree
#> <character> <integer> <character> <logical> <character>
#> t2 t2 10 alias_10 TRUE phylo
#> t7 t7 9 alias_9 TRUE phylo
#> t6 t6 8 alias_8 TRUE phylo
#> t9 t9 7 alias_7 TRUE phylo
#> t4 t4 6 alias_6 TRUE phylo