Package: MIPHENO
Version: 1.2
Date: 2011-11-01
Title: Mutant Identification through Probabilistic High throughput
        Enabled NOrmalization
Author: Shannon M. Bell <bell.shannonm@gmail.com>, Lyle D. Burgoon
        <burgoon.lyle@epa.gov>
Maintainer: Shannon M. Bell <bell.shannonm@gmail.com>
Depends: R (>= 2.12.1)
Imports: doBy, gdata
LazyLoad: yes
Description: This package contains functions to carry out processing of
        high throughput data analysis and detection of putative
        hits/mutants.  Contents include a function for post-hoc quality
        control for removal of outlier sample sets, a median-based
        normalization method for use in datasets where there are no
        explicit controls and where most of the responses are of the
        wildtype/no response class (see accompanying paper).  The
        package also includes a way to prioritize individuals of
        interest using am empirical cumulative distribution function.
        Methods for generating synthetic data as well as data from the
        Chloroplast 2010 project are included.
License: GPL (>= 3)
Packaged: 2012-01-26 18:47:08 UTC; shannon
Repository: CRAN
Date/Publication: 2012-01-27 11:27:41
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