RGSEAfix {RGSEA} | R Documentation |
This is the function for classification and feature selection with fixed number of features from top and bottom of the subtset features.
RGSEAfix(query, reference, queryclasses, refclasses, random = 5000, featurenum = 500, iteration = 100)
query |
A matrix, The query data. This is the data which the research wants to know the class. |
reference |
A matrix. The reference data. Based of the reference data, the research infer the class of query data. |
queryclasses |
A character vector. It contains the classes of query data. If you don't know the classes of query data, just give it a character vector equal to the number of query data. |
refclasses |
A character vector. It contains the classes of reference data. You must know it. |
random |
A numeric variable. The number of features in the subset randomly sampled from the whole features each time. |
featurenum |
A numeric varialbe. The number of features selected from top and bottom of the subset respectivelly. |
iteration |
A numeric varialbe. The times of random sampling. |
[1] The times of each sample in the reference dataset is the most similar to the query data. [2] The frequencey of features selected from the top and bottom of the subsets from the query data, if the query data is correcly classified.
Chengcheng Ma
if(interactive()) { data(e1) data(e2) RGSEAfix(e1,e2, queryclasses=colnames(e1), refclasses=colnames(e2), random=20000, featurenum=1000, iteration=100)->test }