PoissonSeq

Package: PoissonSeq
Type: Package
Title: Significance analysis of sequencing data based on a Poisson log
linear model
Version: 1.1.2
Date: 2012-10-9
Depends: R (>= 2.10), combinat, splines
Author: Jun Li
Maintainer: Jun Li <jun.li@nd.edu>
Description: This package implements a method for normalization,
testing, and false discovery rate estimation for RNA-sequencing
data. The description of the method is in Li J, Witten DM,
Johnstone I, Tibshirani R (2012). Normalization, testing, and
false discovery rate estimation for RNA-sequencing data.
Biostatistics 13(3): 523-38. We estimate the sequencing depths
of experiments using a new method based on Poisson
goodness-of-fit statistic, calculate a score statistic on the
basis of a Poisson log-linear model, and then estimate the
false discovery rate using a modified version of permutation
plug-in method. A more detailed instruction as well as sample
data is available at
http://www.stanford.edu/~junli07/research.html. In this
version, we changed the way of calculating log foldchange for
two-class data. The FDR estimation part remains unchanged.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-10 04:33:20 UTC; jli9
Repository: CRAN
Date/Publication: 2012-10-10 15:36:34

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'PoissonSeq' ...
** package 'PoissonSeq' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'PoissonSeq'
    finding HTML links ... done
    PS.Est.Depth                            html  
    PS.Main                                 html  
    dat                                     html  
** building package indices
** testing if installed package can be loaded
* DONE (PoissonSeq)
Making 'packages.html' ... done