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BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
JCB
2008
91views more  JCB 2008»
15 years 6 months ago
Computational Quantification of Peptides from LC-MS Data
Liquid chromatography coupled to mass spectrometry (LC-MS) has become a major tool for the study of biological processes. High-throughput LC-MS experiments are frequently conducte...
Ole Schulz-Trieglaff, Rene Hussong, Clemens Gr&oum...
KES
2008
Springer
15 years 6 months ago
Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer
We present a method for designing efficient multigenic predictors with few probes and its application to the prediction of the response to preoperative chemotherapy in breast cance...
René Natowicz, Roberto Incitti, Roman Rouzi...
EJIS
2007
140views more  EJIS 2007»
15 years 6 months ago
External Web content and its influence on organizational performance
Research into the Internet has experienced a tremendous growth within the field of information systems. In this sense, the recent literature focuses on more complex research topic...
Ángel Meroño-Cerdan, Pedro Soto-Acos...
KES
2006
Springer
15 years 6 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...