hclust_motifs: Perform hierarchical clustering of motifs

In TedCCLeung/MotifAnalysis: What the Package Does (One Line, Title Case)

Perform hierarchical clustering of motifs

Description

Perform hierarchical clustering of motifs

Usage

hclust_motifs(
  motifs,
  compare_motifs_method = "PCC",
  hclust_method = "complete",
  min.position.ic = 0,
  min.mean.ic = 0.25,
  min.overlap = 6,
  normalize.scores = TRUE
)

Arguments

motifs	Universalmotif object.
compare_motifs_method	The similarity metric to be used between motifs according to the Universalmotifs package
hclust_method	Method to perform hierarchical clustering.
min.position.ic	The minimum IC between positions according to the Universalmotifs package
min.mean.ic	The minimum mean IC according to the Universalmotifs package
min.overlap	The minimum overlap between motifs according to the Universalmotifs package
normalize.scores	Whether to normalize scores according to the Universalmotifs package

Value

hclust result

TedCCLeung/MotifAnalysis documentation built on May 3, 2022, 2:11 p.m.