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» Analysis of Proteomic Pattern Data for Cancer Detection
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BMCBI
2008
119views more  BMCBI 2008»
13 years 7 months ago
Integrated multi-level quality control for proteomic profiling studies using mass spectrometry
Background: Proteomic profiling using mass spectrometry (MS) is one of the most promising methods for the analysis of complex biological samples such as urine, serum and tissue fo...
David A. Cairns, David N. Perkins, Anthea J. Stanl...
ICANN
2009
Springer
13 years 11 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
COMPLIFE
2006
Springer
13 years 11 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
BMCBI
2011
12 years 11 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...