present_prediction_wp: Present Liblinear prediction results
In ginnyintifa/PTMscape:

Combine Liblinear prediction results and window, position informations of sites. Calculate score threshold at user specified sensitivity level.

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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.

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")