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BMCBI
2007
86views more  BMCBI 2007»
13 years 9 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham
BMCBI
2007
131views more  BMCBI 2007»
13 years 9 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
DATESO
2010
169views Database» more  DATESO 2010»
13 years 7 months ago
Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry
Abstract. Tandem mass spectrometry is a widely used method for protein and peptide sequences identification. Since the mass spectra contain up to 80% of noise and many other inaccu...
Jiri Novák, David Hoksza
BMCBI
2005
118views more  BMCBI 2005»
13 years 9 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
CIBCB
2009
IEEE
13 years 11 months ago
An application of the metric access methods to the mass spectrometry data
Mass spectrometry is a very popular method for protein and peptide identification nowadays. Abundance of data generated in this way grows exponentially every year and although ther...
Jiri Novák, David Hoksza