TS_WhatKeywords, which gives a text summary of the unique keywords in an hctsa dataset.
'locdep'), that only operate on positive-only time series (
'posOnly'), that require the TISEAN package (
'tisean'), or that are stochastic (i.e., they give different results when repeated,
TS_LocalClearRemoveachieves these tasks when working directly with .mat files (NB: if using a mySQL database,
SQL_ClearRemoveshould be used instead).
TS_LocalClearRemoveloads in a an hctsa .mat data file, clears or removes the specified time series or operations, and then writes the result back to the file.
TS_Subset, which takes in a hctsa dataset and generates the desired subset, which can be saved to a new .mat file.
'raw'), save a subset of that dataset to 'HCTSA_healthy.mat' containing only time series tagged with the 'healthy' keyword:
HCTSA_disease.matinto a new combined file,
compare_tsids, controls the behavior of the function in combining time series. By setting this to 1,
TS_Combineassumes that the TimeSeries IDs are comparable between the datasets (e.g., most common when using a mySQL database to store hctsa data), and thus filters out duplicates so that the resulting hctsa dataset contains a unique set of time series. By setting this to 0 (default), the output will contain a union of time series present in each of the two hctsa datasets. In the case that duplicate TimeSeries IDs exist in the combination file, a new index will be generated in the combined file (where IDs assigned to time series are re-assigned as unique integers using
TS_Init, the function will check that the same set of operations have been used in both files.