To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ProCoNA")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Protein co-expression network construction using peptide level data, with statisical analysis. (Journal of Clinical Bioinformatics 2013, 3:11 doi:10.1186/2043-9113-3-11)
Author: David L Gibbs
Maintainer: David L Gibbs <gibbsd at ohsu.edu>
Citation (from within R,
      enter citation("ProCoNA")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ProCoNA")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ProCoNA")
    
| R Script | De Novo Peptide Network Example | |
| Reference Manual | ||
| Text | README | |
| Text | NEWS | 
| biocViews | Bioinformatics, GraphsAndNetworks, Proteomics, Software | 
| Version | 1.0.2 | 
| In Bioconductor since | BioC 2.13 (R-3.0) | 
| License | GPL (>= 2) | 
| Depends | R (>= 2.10), methods, WGCNA, MSnbase | 
| Imports | BiocGenerics, GOstats | 
| Suggests | RUnit | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | ProCoNA_1.0.2.tar.gz | 
| Windows Binary | ProCoNA_1.0.2.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | ProCoNA_1.0.2.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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