clusterOntologyDF: Cluster Ontology DataFrame

In kharchenkolab/cacoa: Case-Control Analysis Tools for Single-Cell RNA-Seq

Cluster Ontology DataFrame

Description

Cluster Ontology DataFrame

Usage

clusterOntologyDF(ont.df, clust.naming, ind.h = 0.66, total.h = 0.5)

Arguments

ind.h	Cut height for hierarchical clustering of terms per cell type. Approximately equal to the fraction of genes, shared between the GOs. Default: 0.66.
total.h	Cut height for hierarchical clustering of GOs across all subtypes. Approximately equal to the fraction of subtypes for which two GOs should belong to the same cluster. Default: 0.5.

Value

List containing:

• df: data.frame with information about individual gene ontolodies and columns Cluster and ClusterName for the clustering info

• hclust: the object of class hclust with hierarchical clustering of GOs across all subtypes

kharchenkolab/cacoa documentation built on May 10, 2022, 3:42 a.m.