Man pages for GIST-CSBL/MVP
An implementation of Mass spectrometry Data Preprocessor

add_random_noiseAdd random noise (normally distributed) to each intensity...
append_original_record_idxAppend original record index (number, order)
apply_clique_methodApply clique method to handle dirty data such as duplicate...
apply_pairwise_methodApply pairwise (naive) method to handle dirty data such as...
arrange_data_using_keyRearrange data frame before processing MVP
check_conditionCheck condition is satisfied or not. If value difference is...
compute_intensity_similarityCompute pairwise similarity of two records (current and...
construct_simulation_dataMake simulation data using various parameter
convert_input_to_naConvert user specified input values to NA
extract_defect_free_tableExtract all records don't have any missing value (Defect free...
extract_duplicate_candidateExtract duplicate candidates related current record (using...
find_best_similar_recordIn pairwise (naive) merging, find best similar record in...
find_non_intensity_colsFind non-intensity columns in data frame
inspect_conditionsInspect current record and candidate record are satisfied...
make_random_missing_valueMake random missing value to intensity element
make_record_duplicated_tableTo simulate real world data, make record duplicated data...
manipulate_table_indexBefore testing simulation restoration rate, we need to...
merge_pairwise_recordMerge pairwise records (two records), manipulate...
merge_records_of_cliqueTitle
preprocess_input_dataBefore applying MVP algorithm, preprocess input data such as...
process_pairwise_mergePairwise merge 1 iteration and return after 1 iteration...
GIST-CSBL/MVP documentation built on May 6, 2019, 5:09 p.m.