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November 30, 2007BMC BioinformaticsOpen Access

Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics

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NPNico PfeiferALAndreas LeinenbachCHChristian G. Huber

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Pfeifer et al. (2007) studied this question.

synapsesocial.com/papers/6a72c36f3ce530166bc360fdhttps://doi.org/10.1186/1471-2105-8-468
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Also Consider

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  1. 1Use of Artificial Neural Networks for the Accurate Prediction of Peptide Liquid Chromatography Elution Times in Proteome Analyses2003 · 295 citations
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  4. 4Comparing monolithic and microparticular capillary columns for the separation and analysis of peptide mixtures by liquid chromatography‐mass spectrometry2005 · 40 citations
  5. 5Liquid Chromatography at Critical Conditions: Comprehensive Approach to Sequence-Dependent Retention Time Prediction2006 · 75 citations