ClusterHierarchy: Creates a new ClusterHierarchy object.

In HCBravoLab/TreeSE: R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations

Description

Works as a validation check for multiple issues user passed dataframe might have. For example, multiple root nodes, incompatible naming, multiple parents of a single node, etc This function performs all this checks and tries to resolve the issues by making changes in cluster assignment User can give either col_regex or columns option to filter the columns or specify the column order

Usage

ClusterHierarchy(hierarchy, col_regex = NULL, columns = NULL)

Arguments

hierarchy	hierarchy as a dataFrame
col_regex	Regular Expression for choosing columns
columns	Vector containing list of columns to choose from with ordering

Value

'ClusterHierarchy“ return an object of class ClusterHierarchy containing cluster information that ensures a valid dataframe for treeviz input

Examples

n=64
# create a hierarchy
df<- data.frame(cluster0=rep(1,n))
for(i in seq(1,5)){
  df[[paste0("cluster",i)]]<- rep(seq(1:(2**i)),each=ceiling(n/(2**i)),len=n)
}
clus_hier<-ClusterHierarchy(df, col_regex = "clus")

HCBravoLab/TreeSE documentation built on Sept. 27, 2021, 4:19 p.m.