| ctgGEMset-methods {ctgGEM} | R Documentation |
These methods operate on ctgGEMset objects. Please note that treeList<- and originalTrees<- are not intended to be called directly.
cellTreeInfo(cs) cellTreeInfo(cs) <- value monocleInfo(cs) monocleInfo(cs, pt) <- value TSCANinfo(cs) TSCANinfo(cs) <- value sincellInfo(cs) sincellInfo(cs, pt) <- value treeList(cs) treeList(cs, tt) <- value originalTrees(cs) originalTrees(cs, tt) <- value
cs |
A ctgGEMset object |
value |
|
pt |
The name of the monocle or sincell parameter to store |
tt |
The type of tree being stored |
An updated ctgGEMset object, or the contents of a slot of the ctgGEMset object
# load HSMMSingleCell package
library(HSMMSingleCell)
# load the data
data(HSMM_expr_matrix)
data(HSMM_sample_sheet)
data(HSMM_gene_annotation)
# construct a ctgGEMset
dataSet <- ctgGEMset(exprsData = HSMM_expr_matrix,
phenoData = HSMM_sample_sheet,
featureData = HSMM_gene_annotation)
cellTreeInfo(dataSet) <- "Hours"
cellTreeInfo(dataSet)
monocleInfo(dataSet, "gene_id") <- "gene_short_name"
monocleInfo(dataSet, "cell_id_1") <- "MYF5"
monocleInfo(dataSet, "cell_id_2") <- "ANPEP"
monocleInfo(dataSet, "ex_type") <- "FPKM"
monocleInfo(dataSet)
TSCANinfo(dataSet) <- "ENSG00000000003.10"
TSCANinfo(dataSet)
sincellInfo(dataSet, "method") <- "classical-MDS"
sincellInfo(dataSet, "MDS.distance") <- "spearman"
sincellInfo(dataSet, "clust.method") <- "k-medoids"
sincellInfo(dataSet)
# The following two examples will return empty lists, since no trees
# have been generated on this ctgGEMset
trees <- treeList(dataSet)
originalTrees <- originalTrees(dataSet)