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» Characterization of Multi-Charge Mass Spectra for Peptide Se...
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BMCBI
2008
165views more  BMCBI 2008»
13 years 9 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
13 years 7 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
BMCBI
2011
13 years 20 days ago
PI: An open-source software package for validation of the SEQUEST result and visualization of mass spectrum
Background: Tandem mass spectrometry (MS/MS) has emerged as the leading method for high- throughput protein identification in proteomics. Recent technological breakthroughs have d...
Yantao Qiao, Hong Zhang, Dongbo Bu, Shiwei Sun
ICONIP
2008
13 years 10 months ago
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
CIBCB
2009
IEEE
13 years 10 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