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  • A novel pre-processing method (scPSD) inspired by power spectral density analysis to extract important information from large-scale single-cell omics data and enhance the separation of cellular phenotypes
    • Publications
    • "Disentangling single-cell omics representation with a power spectral density-based feature extraction"
      DOI: 10.1093/nar/gkac436, Published: 2022-05-25, Citations: 5
    • Preprints
    • "Disentangling single-cell omics representation with a power spectral density-based feature extraction"
      DOI: 10.1101/2021.10.25.465657, Citations: 0
  • Platform: MATLAB/Python/R
  • Code: https://github.com/VafaeeLab/psdMAT
    starsN/A
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    last commitUnknown
  • Categories: Transformation
  • Added: 2021-10-29, Updated: 2022-06-17

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