Highly comparative time-series analysis with hctsa
  • Information about hctsa
    • Introduction
    • Getting started
    • Publications using hctsa
    • UMAP Projections
    • Related Time-Series Resources
    • List of included code files
    • FAQ
  • Installing and using hctsa
    • General advice and common pitfalls
    • Installing and setting up
      • Structure of the hctsa framework
      • Overview of an hctsa analysis
      • Compiling binaries
    • Running hctsa computations
      • Input files
      • Performing calculations
      • Inspecting errors
      • Working with hctsa files
    • Analyzing and visualizing results
      • Assigning group labels to data
      • Filtering and normalizing
      • Clustering rows and columns
      • Visualizing the data matrix
      • Plotting the time series
      • Low dimensional representation
      • Finding nearest neighbors
      • Investigating specific operations
      • Exploring classification accuracy
      • Finding informative features
      • Interpreting features
      • Comparing to existing features
      • Working with short time series
    • Working with a mySQL database
      • Setting up the mySQL database
      • The database structure
      • Populating the database with time series and operations
      • Adding time series
      • Retrieving from the database
      • Computing operations and writing back to the database
      • Cycling through computations using runscripts
      • Clearing or removing data
      • Retrieving data from the database
      • Error handling and maintenance
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  1. Information about hctsa

Introduction

Welcome to the hctsa documentation!

NextGetting started

Last updated 4 months ago

Was this helpful?

This documentation contains resources and information about highly comparative time-series analysis using hctsa, and also outlines the steps required to set up and implement highly comparative time-series analysis using the , as described in our papers:

  1. B.D. Fulcher and N.S. Jones. . Cell Systems 5, 527 (2017).

  2. B.D. Fulcher, M.A. Little, N.S. Jones. . J. Roy. Soc. Interface 10, 20130048 (2013).

hctsa package
hctsa: A computational framework for automated time-series phenotyping using massive feature extraction
Highly comparative time-series analysis: the empirical structure of time series and their methods