Description Usage Arguments Value Author(s) References See Also
When nEnvFactors
= 1 and nLevels
= 1, there is no environmetal
pertubation in the experimental.
Then we re-define nEnvFactors
to be 0 within the algorithm.
nEnvFactors
= 0, only genetic factor is considered.
nEnvFactors
> 1, genetic and environmental facotrs, and all possible
interacting factors are considered.
1 | variableNumber( nEnvFactors )
|
nEnvFactors |
number of environmental factors, an integer. |
nEnvFactors
= 1, variableNumber
= 3 (one genetic factor Q, one environmental
factor F, and one interacting factor QxF)
nEnvFactors
= 2, variableNumber
= 7
nEnvFactors
= 3, variableNumber
= 15
Yang Li <yang.li@rug.nl>, Gonzalo Vera <gonzalo.vera.rodriguez@gmail.com>
Rainer Breitling <r.breitling@rug.nl>, Ritsert Jansen <r.c.jansen@rug.nl>
Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical
genomics: the added value from environmental perturbation, Trends Genet
(2008) 24:518-524.
Y. Li, M. Swertz, G. Vera, J. Fu, R. Breitling, and R.C. Jansen. designGG:
An R-package and Web tool for the optimal design of genetical genomics
experiments. BMC Bioinformatics 10:188(2009)
http://gbic.biol.rug.nl/designGG
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