Comments (3)
Hi Ali,
In general, a good idea to get the information into a single set of keywords, labels, … and then run a single TS_Init
, but I guess you have a more specific use case.
The beVocal
flag (4th input to TS_Init
) is the one to edit. Setting to [false,false,false]
should disable user input for all three: time series, master operations, and operations.
Ben
from hctsa.
Fantastic, thank you very much for your quick and exact reply, it worked perfectly! Meanwhile, regarding your suggestion of using a single set of keywords and lebels, I am working with a dataset containing 646 subjects which we have extracted 400 timeseries per subject each corresponding to one of the 400 Schafer atlas brain regions). I am used a single set of 400 labels for all subjects' time series (each region has it's own label), but for the keywords I used a unique keyword (represantative of the corresponding subject ID and region) for each timeseries.
If you have any recommendations or suggestions regarding the use of labels and keywords, I would be more than happy to hear them.
Thank you,
Ali
from hctsa.
No worries. Yep, it's up to you whether to make a different HCTSA file for each subject (TS_Init), or combine them all into a single input file, and label each according to both a subject and a region ID (one big HCTSA file). I would suggest the latter, and I would also suggest starting with a reduced feature set (e.g., catch22), before scaling up to hctsa (so you can work through the analyses before taking on the computational expense of the hctsa feature set). Good luck.
from hctsa.
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