RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (2.1) of this package.
Take me there.
COSINE (version 0.0)
COndition SpecIfic sub-NEtwork
Description
To identify the globally most discriminative subnetwork from gene expression profiles using an optimization model and genetic algorithm
Copy Link
Copy
Link to current version
Version
Version
2.1
2.0
1.0
0.0
Down Chevron
Install
install.packages('COSINE')
Monthly Downloads
39
Version
0.0
License
GPL (>= 2)
Maintainer
Haisu Ma
Last Published
November 29th, 2010
Functions in COSINE (0.0)
Search functions
diff_gen_for3
Generate the F-statistics and ECF-statistics for the comparison of three datasets
cond.fyx
Compute the ECF-statistics measuring the differential correlation of gene pairs
choose_lambda
Choose the most appropriate weight parameter lambda
set1_scaled_diff
The standardized F-statistics and ECF-statistics for the comparison between simulated data1 and the control data
COSINE-package
COndition SpecIfic subNEtwork identification
set1_unscaled_diff
The unstandardized F-statistics and ECF-statistics of simulated dataset 1
set1_GA
Result of genetic algorithm search for simulated data set1
DataSimu
Simulation of the six datasets and the case dataset
f.test
To get the F-statistics for each gene
diff_gen
Calculate the F-statistics and ECF-statistics
simulated_data
The simulated data sets used in the paper
GA_search
Use genetic algorithm to search for the globally optimal subnetwork
score_scaling
To get the normalzied F-statistics and ECF-statistics
get_quantiles
Get the five quantiles of the weight parameter lambda