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How to cite this poster:
Fannes T, Vandermarliere E, Schietgat L et al. Predicting tryptic cleavage from proteomics data using decision tree ensembles. F1000Posters 2013, 4:1458 (poster)

Predicting tryptic cleavage from proteomics data using decision tree ensembles

Thomas Fannes1, Thomas Fannes2, Thomas Fannes3, Elien Vandermarliere, Leander Schietgat, Sven Degroeve, Kurt De Grave, Lennart Martens, Jan Ramon
Published 11 Dec 2013
Author Affiliations
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Published 11 Dec 2013

Predicting tryptic cleavage from proteomics data using decision tree ensembles

[version 1; not peer reviewed]

Thomas Fannes1, Thomas Fannes2, Thomas Fannes3, Elien Vandermarliere, Leander Schietgat, Sven Degroeve, Kurt De Grave, Lennart Martens, Jan Ramon
Author Affiliations
1 Biochemistry, Ghent University, Belgium
2 Medical Protein Research, VIB, Belgium
3 Computer Science, DTAI, KU Leuven, Belgium
Presented at
Benelux Bioinformatics Conference 2013
Abstract
Gates Foundation grant number
“Principles of pattern set mining, “Bioinformatics: from nucleotides to networks”, O&O "Kinase Switch", 260558 , 262067 , 240186 , SBO 120025 "InSPECtor"
Competing Interests

No competing interests were disclosed

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