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Preprocess ๐Ÿฆ  COVID-19 strains data by the algorithm proposed by Tempel

Python 100.00%
covid-19 time-series clustering

covid-19-preprocess's Introduction

COVID-19 Preprocess

Preprocess COVID-19 strains data by the algorithm proposed by Tempel. This is a relatively naive implementation of the original one aiming to test whether time-series training samples construction (explained in Tempel Fig.2) can be applied to COVID-19.

Data Files

src.paths.file_paths stores paths to the data which were not uploaded due to the file size limitation of GitHub. Missing data files are listed below:

  • covid_amino_acids_path contains virus types and their corresponding amino acids sequence.
  • covid_metadata_path contains virus types and their corresponding discovery time.
  • covid_dna_sequences_path contains virus types and their corresponding DNA sequence.
  • covid_protvec_path is the protVec of amino acids trigrams.
  • covid_overlapping_trigrams_path contains the embedded sequences represented by numeric vectors.

Usage

Run src.execution.setup.

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