Package ‘ WGCNA ’ January 14 , 2016
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چکیده
Suggests org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet ZipData no License GPL (>= 2) Description Functions necessary to perform Weighted Correlation Network Analysis on highdimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
منابع مشابه
Tutorial for the WGCNA package for R II. Consensus network analysis of liver expression data, female and male mice 4. Relating consensus modules to external microarray sample information and exporting network analysis results
# Display the current working directory getwd(); # If necessary, change the path below to the directory where the data files are stored. # "." means current directory. On Windows use a forward slash / instead of the usual \. workingDir = "."; setwd(workingDir); # Load the WGCNA package library(WGCNA) # The following setting is important, do not omit. options(stringsAsFactors = FALSE); # Load th...
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BACKGROUND The analysis of the potential molecule targets of coronary artery disease (CAD) is critical for understanding the molecular mechanisms of disease. However, studies of global microarray gene co-expression analysis of CAD still remain limited. METHODS Microarray data of CAD (GSE23561) were downloaded from Gene Expression Omnibus, including peripheral blood samples from CAD patients (...
متن کاملTutorial for the WGCNA package for R II. Consensus network analysis of liver expression data, female and male mice 2.c Dealing with large data sets: block-wise network construction and consensus module detection
2 Network construction and module detection 2 2.a Automatic block-wise network construction and consensus module detection . . . . . . . . . . . . 2 2.a.1 Choosing the soft-thresholding power: analysis of network topology . . . . . . . . . . . . . . 2 2.a.2 Block-wise network construction and consensus module detection . . . . . . . . . . . . . . . 3 2.a.3 Comparing the block-wise and standard ...
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Studies that only assess differentially-expressed (DE) genes do not contain the information required to investigate the mechanisms of diseases. A complete knowledge of all the direct and indirect interactions between proteins may act as a significant benchmark in the process of forming a comprehensive description of cellular mechanisms and functions. The results of protein interaction network s...
متن کاملPackage ‘ WGCNA ’ February 15 , 2013
February 15, 2013 Version 1.25-2 Date 2012-12-01 Title Weighted Correlation Network Analysis Author Peter Langfelder and Steve Horvath with contributions by Chaochao Cai,Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang Maintainer Peter Langfelder Depends R (>= 2.14), stats, impute, grDevices, dynamicT...
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تاریخ انتشار 2016