False discovery rate estimation using candidate peptides for each spectrum

HIGHLIGHTS

• who: Sangjeong Lee from the Department of Computer, Hanyang University, Seoul, of Korea have published the paper: False discovery rate estimation using candidate peptides for each spectrum, in the Journal: (JOURNAL)
• what: The authors propose cTDS with candidate peptides) for accurate estimation of the FDR using the probability that the spectrum is identified incorrectly as a or peptide.
• how: When the spectra in the HEK293 dataset are identified incorrectly the probabilities of the spectra matching the target or decoy peptides are mostly not equal. The authors used the human SwissProt database (42351 target . . .
  

   

  

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