Reads file with features(PC's) in columns and samples in rows. And an annotation file.You pick a max # of features. Using caret runs a prediction iteratively from 2 to max.features. Picks best predictor with least featurs. Returns samples correctly predicted leaves out those samples incorrectly predicted.
1 | simple_ttest(dataset, fact, file.prefix)
|
dataset |
data file, first column is features , columns samples, rows genes |
fact |
first column sample names, second column type, must have no header |
file.prefix |
name of output file will be postended with ".txt" |
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