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Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics
BACKGROUND: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination with database searching algorithms. A major problem with existing methods lies within the significant number of false posit...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2254445/ https://www.ncbi.nlm.nih.gov/pubmed/18053132 http://dx.doi.org/10.1186/1471-2105-8-468 |