---
description: Some advice for getting started with an hctsa analysis
---

# Getting started

## 🖥️ Talks and live demos

<table data-view="cards"><thead><tr><th align="center"></th><th data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td align="center"><a href="https://www.youtube.com/watch?v=c1adfGjof8s"><mark style="color:red;">Youtube live stream</mark></a> of a tutorial session on feature-based time-series analysis tools at Computational Neuroscience Academy 2023, Krakow, Poland.</td><td><a href="https://www.youtube.com/watch?v=c1adfGjof8s">https://www.youtube.com/watch?v=c1adfGjof8s</a></td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FXfXtydHeojVFGK19Og9D%2FScreenshot%202024-05-14%20at%2011.56.45.png?alt=media&#x26;token=be9b74f5-5374-4855-9977-140aac492a69">Screenshot 2024-05-14 at 11.56.45.png</a></td></tr><tr><td align="center"><a href="https://youtu.be/YwPX3rWxP_Y"><mark style="color:red;">YouTube video walking through the</mark></a> t<a href="https://github.com/benfulcher/hctsaTutorial_BonnEEG">utorial on classifying EEG data</a>, check out this slides for the full talk about analyzing neural dynamics using <em>hctsa</em> at CNS 2020 are <a href="https://doi.org/10.6084/m9.figshare.12671900.v1">here</a>. July 2020.</td><td><a href="https://github.com/benfulcher/hctsaTutorial_BonnEEG">https://github.com/benfulcher/hctsaTutorial_BonnEEG</a></td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FGkyqTXRIbj7oinCXbJfq%2FScreenshot%202024-05-14%20at%2011.58.27.png?alt=media&#x26;token=7b08965b-aece-41bf-b1e7-9d5cf613e0c5">Screenshot 2024-05-14 at 11.58.27.png</a></td></tr><tr><td align="center">Talk about the importance of comparison for time-series analysis to QMNET.<br><a href="https://doi.org/10.6084/m9.figshare.12775748.v1"><mark style="color:blue;">Slides</mark></a>, <a href="https://youtu.be/689Nw3RS690"><mark style="color:red;">YouTube</mark></a><mark style="color:red;">.</mark><br>(August 2020).</td><td></td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2F6y6n0OmUmxcbC3ggZx1l%2FScreenshot%202024-05-14%20at%2011.59.17.png?alt=media&#x26;token=ec6cdf3d-38c1-45c2-858d-03def787889d">Screenshot 2024-05-14 at 11.59.17.png</a></td></tr></tbody></table>

## 💾 _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 [page of publications using _hctsa_](publications-using-hctsa)for example publications that have used hctsa—some of these contain associated open code.

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><strong>Seizure EEG.</strong><br>An overview tutorial on applying <em>hctsa</em> to a 5-class EEG dataset is in <a href="https://github.com/benfulcher/hctsaTutorial_BonnEEG">this GitHub repo</a> (including the use of reduced feature set, <em>catch22</em>, within the <em>hctsa</em> framework). There is also a recording of the tutorial (final ~hour is a hands-on demo using this dataset) on <a href="https://www.youtube.com/watch?v=YwPX3rWxP_Y">YouTube</a>.</td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FHcrwwxpBzPw7rzHpRrof%2FScreenshot%202024-05-14%20at%2011.51.46.png?alt=media&#x26;token=9c2771cb-b530-4bd5-a914-fefb7020e424">Screenshot 2024-05-14 at 11.51.46.png</a></td><td></td></tr><tr><td align="center"><strong>Worms in a dish</strong>.<br><a href="https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Caenorhabditis_elegans_movement_speed/3863559"><em>C. elegans</em> movement speed data</a> and associated <a href="https://github.com/benfulcher/hctsa_phenotypingWorm">analysis code</a>.<br>You can try your hand at classifying different strains of the nematode worm <em>C. elegans</em> based on their time series of their movement speed. The repository, with links to pre-computed <code>HCTSA.mat</code> files, is <a href="https://github.com/benfulcher/hctsa_phenotypingWorm">here</a>.</td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FbgTToklSqHpvZ0QI6BmY%2Fgr2.png?alt=media&#x26;token=03a82f73-6e6d-4f83-abe5-60e9b81314fe">gr2.png</a></td><td><a href="https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Caenorhabditis_elegans_movement_speed/3863559">https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Caenorhabditis_elegans_movement_speed/3863559</a></td></tr><tr><td align="center"><strong>Flies in a tube.</strong><br><a href="https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Drosophila_melanogaster_movement_speed/3863553">Drosophila movement speed</a> and associated <a href="https://github.com/benfulcher/hctsa_phenotypingFly">analysis code</a>. This repository allows you to skip the process of running an <em>hctsa</em> calculation (you can download pre-computed results), and get straight to following key analyses, including classifying day/night, or male/female.</td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FcwgdWTC6z2Gb6SW7WuWV%2FScreenshot%202024-05-13%20at%201.52.13%E2%80%AFpm.png?alt=media&#x26;token=344c8ff9-dba6-46c6-9c1e-6b0854c57cca">Screenshot 2024-05-13 at 1.52.13 pm.png</a></td><td><a href="https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Drosophila_melanogaster_movement_speed/3863553">https://figshare.com/articles/Highly_comparative_time-series_analysis_of_Drosophila_melanogaster_movement_speed/3863553</a></td></tr><tr><td align="center"><p></p><p><a href="https://figshare.com/articles/dataset/1000_Empirical_Time_series/5436136">1000 empirical time series</a>.<br>A collection of 1000 diverse empirical time series to test algorithms on.</p></td><td><a href="https://254595279-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LEJuzw5fsQv4fwW3E7P%2Fuploads%2FAa9g1w6tVRHaSrAJ1CMW%2F150TS250samples.png?alt=media&#x26;token=1a5393da-e707-49b5-8961-e65bbefa23f8">150TS250samples.png</a></td><td><a href="https://figshare.com/articles/dataset/1000_Empirical_Time_series/5436136">https://figshare.com/articles/dataset/1000_Empirical_Time_series/5436136</a></td></tr></tbody></table>

_If you have data to share and host, let me know and I'll add it to this list._&#x20;

