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Getting started

Some advice for getting started with an hctsa analysis

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🖥️ Talks and live demos

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💾 hctsa datasets, and example workflows

Sometimes it's easiest to quickly get going when you can follow on to some example code. Here are some repositories that allow you to do just this. There are a range of open datasets with pre-computed hctsa features, as well as some examples of hctsa workflows. You may also check the for example publications that have used hctsa—some of these contain associated open code.

If you have data to share and host, let me know and I'll add it to this list.

Youtube live streamarrow-up-right of a tutorial session on feature-based time-series analysis tools at Computational Neuroscience Academy 2023, Krakow, Poland.

YouTube video walking through thearrow-up-right tutorial on classifying EEG dataarrow-up-right, check out this slides for the full talk about analyzing neural dynamics using hctsa at CNS 2020 are herearrow-up-right. July 2020.

Talk about the importance of comparison for time-series analysis to QMNET. Slidesarrow-up-right, YouTubearrow-up-right. (August 2020).

page of publications using hctsa
https://www.youtube.com/watch?v=c1adfGjof8s
https://github.com/benfulcher/hctsaTutorial_BonnEEG
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Seizure EEG. An overview tutorial on applying hctsa to a 5-class EEG dataset is in (including the use of reduced feature set, catch22, within the hctsa framework). There is also a recording of the tutorial (final ~hour is a hands-on demo using this dataset) on .

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Worms in a dish. and associated . You can try your hand at classifying different strains of the nematode worm C. elegans based on their time series of their movement speed. The repository, with links to pre-computed HCTSA.mat files, is .

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Flies in a tube. and associated . This repository allows you to skip the process of running an hctsa calculation (you can download pre-computed results), and get straight to following key analyses, including classifying day/night, or male/female.

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. A collection of 1000 diverse empirical time series to test algorithms on.

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this GitHub repoarrow-up-right
YouTubearrow-up-right
C. elegans movement speed dataarrow-up-right
analysis codearrow-up-right
herearrow-up-right
Drosophila movement speedarrow-up-right
analysis codearrow-up-right
1000 empirical time seriesarrow-up-right