set1_scaled_diff

This data is a list containing two components, the first
component is a vector of length 500 which contains the 
F-statistics measuring differential expression of single 
genes, and the second component is a 500 by 500 matrix containing
the ECF-statistics measuring the differential correlation of gene pairs

datasets

To identify the globally most discriminative subnetwork
        from gene expression profiles using an optimization model and
        genetic algorithm

Haisu Ma

COSINE

COndition SpecIfic sub-NEtwork

set1_scaled_diff function

The format is:

List of 2

 $ : num [1:500] -0.416 -0.392 -0.326 -0.335 0.237 ...

 $ : num [1:500, 1:500] -0.986 -0.352 -0.828 -0.79 -0.208 ...

set1_scaled_diff: The standardized F-statistics and ECF-statistics for the comparison between simulated data1 and the control data

Description

Usage

Arguments

format

Examples