a character vector, a set of genes will be analyzed.
knodes
a character vector, a set of interested genes (e.g., known stress-related genes).
cpus
an integrator value, the number of cpus will be used for parallel computing.
verbose
logical value indicate whether the progress information will be output.
netResFileDic
file directory where the network-related results will be output.
features
a character vector specifying the network characteristics will be analyzed.
Value
a numeric matrix, feature matrix generated from network comparision analysis.
Note
1) More information about these network properties has been described in (Ma and Wang, 2013).
2) To run netFeatureMatrix, the parameters "v" and "to" in "exp2net" function should be the
whole genes in expmat.
Author(s)
Chuang Ma, Xiangfeng Wang.
References
[1] Chuang Ma, Xiangfeng Wang. Machine learning-based differential network analysis:a case
study of stress-responsive transcriptomes in Arabidopsis thaliana. 2013(Submitted).