Predicting tryptic cleavage from proteomics data using decision tree ensembles.
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Exploring the potential of public proteomics dataUnravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques.The unique peptidome: Taxon-specific tryptic peptides as biomarkers for targeted metaproteomics.Machine learning applications in proteomics research: how the past can boost the future.Designing biomedical proteomics experiments: state-of-the-art and future perspectives.Database Search Engines: Paradigms, Challenges and Solutions.An extra dimension in protein tagging by quantifying universal proteotypic peptides using targeted proteomics.Comparative functional dynamics studies on the enzyme nano-bio interface
P2860
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P2860
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@ast
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@en
type
label
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@ast
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@en
prefLabel
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@ast
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@en
P2093
P356
P1476
Predicting tryptic cleavage from proteomics data using decision tree ensembles.
@en
P2093
Elien Vandermarliere
Leander Schietgat
Sven Degroeve
Thomas Fannes
P304
P356
10.1021/PR4001114
P577
2013-04-04T00:00:00Z