| CI.emprical {propOverlap} | R Documentation |
Computing the Core Intervals for Both Classes.
Description
CI.emprical is used to compute the core interval boundaries for each class.
Usage
CI.emprical(ES, Y)
Arguments
ES |
gene (feature) matrix: P, number of genes, by N, number of samples(observations). |
Y |
a vector of length N for samples' class label. |
Value
CI.emprical returns an object of class “data.frame” which has P rows and 4 columns. The first two columns represent a1, the minimum boundary of the first class, and b1, the maximum boundary of the first class, respectively. Whereas, the last two columns represent a2, the minimum boundary of the second class, and b2, the maximum boundary of the second class, respectively.
Author(s)
Osama Mahmoud ofamah@essex.ac.uk
References
Mahmoud O., Harrison A., Perperoglou A., Gul A., Khan Z., Metodiev M. and Lausen B. (2014) A feature selection method for classification within functional genomics experiments based on the proportional overlapping score. BMC Bioinformatics, 2014, 15:274.
Examples
data(lung)
GenesExpression <- lung[1:12533,] #define the features matrix
Class <- lung[12534,] #define the observations' class labels
CoreIntervals <- CI.emprical(GenesExpression, Class)
CoreIntervals[1:10,] #show classes' core interval for the first 10 features