Description Usage Arguments Examples
View source: R/predict_whole_proteom.R
Combine Liblinear prediction results and window, position informations of sites. Calculate score threshold at user specified sensitivity level.
1 2 3 | present_prediction_wp(positive_index_file_names, candi_index_file_names,
prediction_score_file_names, test_label_file_names, candidate_df_Rds,
specificity_level = 0.99, output_label)
|
positive_index_file_names |
An Rds file containing the names of indices for positive windows. |
candi_index_file_names |
An Rds file containing the names of indices for candidate(negative) windows. |
prediction_score_file_names |
An Rds file containing the file names of Liblinear predicted scores. |
test_label_file_names |
An Rds file containing the file names of the label of the test data. |
candidate_df_Rds |
An Rds file containing the data frame of all candiate sites information(generated by g_feature_wp)/ |
specificity_level |
A numerical number indicating the specificity user requires the classifier to achieve, default set to 0.99 |
output_label |
The string to tag the output files. |
1 2 3 4 5 6 7 | present_prediction_wp(positive_index_file_names = "ps_0103_pos_index_names.Rds",
candi_index_file_names = "ps_0103_candi_index_names.Rds",
prediction_score_file_names = "ps_0103_prediction_file_names.Rds",
test_label_file_names = "ps_0103_test_label_names.Rds",
candidate_df_Rds = "ps_0103_candidate.Rds",
specificity_level = 0.99,
output_label = "ps_0103")
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