2007
DOI: 10.1093/bioinformatics/btm563
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: The Dynamic Tree Cut method is implemented in an R package available at http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/BranchCutting.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
1,356
0
2

Year Published

2009
2009
2020
2020

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 1,620 publications
(1,361 citation statements)
references
References 11 publications
3
1,356
0
2
Order By: Relevance
“…We applied different HC methods (23,24) to the dataset, varying distance measures, linkage functions, feature selection (22,25), and then identifying an optimal partition of the inferred trees (26). For control, a set of random trees and clusters was also created.…”
Section: Methodsmentioning
confidence: 99%
“…We applied different HC methods (23,24) to the dataset, varying distance measures, linkage functions, feature selection (22,25), and then identifying an optimal partition of the inferred trees (26). For control, a set of random trees and clusters was also created.…”
Section: Methodsmentioning
confidence: 99%
“…Applying a dynamic tree cut (Langfelder et al, 2008) to the clustering dendrogram, we identified 85 motif types ( Figure S2A). At the family level, motif clusters from the large and functionally diverse bZIP ( Figure 3A) and NAC families ( Figure S2B) closely reflected TF phylogeny (Corrêa et al, 2008;Olsen et al, 2005), indicating target sequences are conserved for close paralogs.…”
Section: The Arabidopsis Cistromementioning
confidence: 99%
“…Clusters were defined by dynamic branch cutting method implemented in R-package (8). We allowed only groups of five or more patients to be considered as a cluster.…”
Section: Clusters Of Patientsmentioning
confidence: 99%