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...

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Detalles Bibliográficos
Autores principales: Pfeifer, Nico, Leinenbach, Andreas, Huber, Christian G, Kohlbacher, Oliver
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
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

Internet

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

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