predict_PLSDA_graph: Predict all files in a folder using PLSDA of a training...
In graeberlab/small.cell.project: small.cell.project

Description Usage Arguments

Predict all files in a folder using PLSDA of a training dataset, file names have to be of form name_.......txt Predicts classifications of test dataset and writes out predictions

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predict_PLSDA_graph(prediction_file, test_files_folder, anno.file,
  output_folder = "./", train_string = "", test_pattern = "",
  train_pattern = "", comps = 3)

`prediction_file`	file with training data features rows , genes columns, features are in column 1
`test_files_folder`	folder of test files
`anno.file`	Annotation file, first column is sample names, 2nd is annotation
`output_folder`	output folder
`train_string`	string of training data to insert in file name of predicted scores
`train_pattern`	annotation type of main group in your comparison ,taken from 2nd column in anno.
`comps`	number of components to compute
`test_string`	string of data being tested to insert in file name of predicted scores