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 2 | do.survival(threshold = 0, pattern, path, output_folder,
component = "comp.1", pred_file = T, plsda = F)
|
threshold |
threshold to use to pick samples |
pattern |
pattern of prediction files |
path |
location of prediction files |
output_folder |
the output folder |
component |
component to use |
pred_file |
using scores or a file with predictions |
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