title: Utlization of human expert techniques for detection of low-abundant peaks in high-resolution mass spectra.
abstract: Interpretation and classification of mass spectra is usually performed using a list of peaks as their mathematical representation. This fact makes peak detection a bottleneck of mass spectra analysis, since quality and biological relevance of any results strongly depends on the accuracy of peak detection process. Many algorithms utilize intensity to differentiate between peaks and noise and thus bias the detection process to the high abundant peaks. However important information may also be contained in the lower-intensity peaks that are more difficult to discover. We present an algorithm specifically designed for detection of low-abundant peaks.
authors.affiliation: Kidney Disease Program and Clinical Proteomics Center, Louisville Univ., K, USA. greg.boratyn@luisville.edu
authors.forename: Grzegorz M
authors.initials: GM
authors.lastname: Boratyn
authors.forename: Michael L
authors.initials: ML
authors.lastname: Merchant
authors.forename: Jon B
authors.initials: JB
authors.lastname: Klein
mesh_terms: D000465:Algorithms; D002138:Calibration; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated; D010449:Peptide Mapping; D040081:Protein Array Analysis; D011506:Proteins; D040901:Proteomics; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software
chemical_list: D011506:Proteins