Article

Automatic time-series phenotyping using massive feature extraction

2016-10-17

Abstract excerpt

Phenotype measurements frequently take the form of time series, but we currently lack a systematic method for relating these complex data streams to scientifically meaningful outcomes, such as relating the movement dynamics of a model organism to their genotype, or measurements of brain dynamics of a patient to their disease diagnosis. Here we report a new tool, hctsa , that automatically selects interpretable an...

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Identifiers and source

Literature Corpus work: 9859e573-a397-5d52-ab7f-9c5a1912db47
DOI: 10.1101/081463

Open publication

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