MIPHENO: Mutant Identification through Probabilistic High throughput
Enabled NOrmalization
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.
| Version: |
1.2 |
| Depends: |
R (≥ 2.12.1) |
| Imports: |
doBy, gdata |
| Published: |
2012-01-27 |
| Author: |
Shannon M. Bell, Lyle D. Burgoon |
| Maintainer: |
Shannon M. Bell <bell.shannonm at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
MIPHENO results |
Downloads: