Weighted correlation network analysis

Weighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method… (More)
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Topic mentions per year

2008-2017
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2017
2017
PIWI-interacting RNAs (piRNAs) are the largest class of small noncoding RNAs in animal cells; they cooperate with PIWI proteins… (More)
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2016
2016
Guatemala has the fifth worst child stunting prevalence — low-height-for-age — in the world, at 49%. Child stunting… (More)
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2015
2015
March 28, 2015 Version 1.46 Date 2015-03-28 Title Weighted Correlation Network Analysis Author Peter Langfelder <Peter.Langfelder… (More)
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2015
2015
February 19, 2015 Version 1.43 Date 2015-01-15 Title Weighted Correlation Network Analysis Author Peter Langfelder <Peter… (More)
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Review
2014
Review
2014
In the post-genomic era, genome-wide experiments have become commonplace and methods to interrogate such datasets are becomingly… (More)
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2013
2013
In recent years, hierarchical networks have received comparatively less attention to explore microarray gene expression data… (More)
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Review
2013
Review
2013
Integrated weighted correlation network analysis of mouse liver gene expression data Chapter 12 and this R software tutorial… (More)
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2012
2012
Comparing expression and methylation networks necessitates that the network nodes can be matched between expression and… (More)
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Review
2011
Review
2011
We survey key concepts of weighted gene coexpression network analysis (WGCNA), also known as weighted correlation network… (More)
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Review
2008
Review
2008
Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network… (More)
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