Blind Source Separation of MALDI spectra from noise by sparse representation in a composite of linear bases

  • We apply a Blind Source Separation technique to differentiate between signal and noise on MALDI spectra.
  • We look for efficient representations in a redundant composite of two transforms with different statistical properties, one adapted to represent the signal, the other the noise.
  • Results show a clean separation between signal and noise with joint perfect reconstruction of the original signal

Content Type:
Paper
Document Number:
PO-CON1763E
Product Type:
Mass Spectrometry, MALDI-TOF mass spectrometer
Keywords:
Blind Source Separation, Iterative Shrinkage Methods, iterated algorithm, noise, TIC spectrum, mouse brain protein, Pharmaceutical, Life Science, Proteomics, MALDI-7090
Language:
English
File Name:
ego317088.pdf
File Size:
362kb

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For Research Use Only. Not for use in diagnostic procedures.

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