Description Usage Arguments Value Author(s) References See Also Examples
RDC
associates genes (features) with the class which it is more able to distingish. For each gene, a class that has the highest proportion, relative to classes' size, of correctly assigned samples (observations) is reported as the relative dominant class for the considered gene.
1 |
GMask |
gene (feature) mask matrix: P, number of genes, by N, number of samples(observations) with elements of zeros and ones. See the returned value of the |
Y |
a vector of length N for samples' class label. |
RDC
returns a vector of length P. Each element's value is either 1 or 2 indicating which class label is reported as the relative dominant class for the corresponding gene (feature).
Osama Mahmoud ofamah@essex.ac.uk
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.
GMask
for gene (feature) mask matrix.
1 2 3 4 5 6 | data(lung)
Class <- lung[12534,] #define the observations' class labels
Gene.Masks <- GMask(lung[1:12533,], CI.emprical(lung[1:12533,], Class), Class)
RelativeDC <- RDC(Gene.Masks, Class)
RelativeDC[1:10] #show the relative dominant classes for the first 10 features
table(RelativeDC) #show the number of assignments for each class
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