Ranking Methods for the Prediction of Frequent Top Scoring Peptides from Proteomics Data
نویسندگان
چکیده
منابع مشابه
Ranking Methods for the Prediction of Frequent Top Scoring Peptides from Proteomics Data
Proteomics facilities accumulate large amounts of proteomics data that are archived for documentation purposes. Since proteomics search engines, e.g. Mascot or Sequest, are used for peptide sequencing resulting in peptide hits that are ranked by a score, we apply ranking algorithms to combine archived search results into predictive models. In this way peptide sequences can be identified that fr...
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ژورنال
عنوان ژورنال: Journal of Proteomics & Bioinformatics
سال: 2009
ISSN: 0974-276X
DOI: 10.4172/jpb.1000081