COSINE-package |
COndition SpecIfic subNEtwork identification |
choose_lambda |
Choose the most appropriate weight parameter lambda |
cond.fyx |
Compute the ECF-statistics measuring the differential correlation of gene pairs |
COSINE |
COndition SpecIfic subNEtwork identification |
DataSimu |
Simulation of the six datasets and the case dataset |
diff_gen |
Calculate the F-statistics and ECF-statistics |
diff_gen_for3 |
Generate the F-statistics and ECF-statistics for the comparison of three datasets |
f.test |
To get the F-statistics for each gene |
GA_search |
Use genetic algorithm to search for the globally optimal subnetwork |
get_quantiles |
Get the five quantiles of the weight parameter lambda |
score_scaling |
To get the normalzied F-statistics and ECF-statistics |
set1_GA |
Result of genetic algorithm search for simulated data set1 |
set1_scaled_diff |
The standardized F-statistics and ECF-statistics for the comparison between simulated data1 and the control data |
set1_unscaled_diff |
The unstandardized F-statistics and ECF-statistics of simulated dataset 1 |
simulated_data |
The simulated data sets used in the paper |