Machine learning applications in proteomics research: How the past can boost the future-Reference-Cited by-同舟云学术

Machine learning applications in proteomics research: How the past can boost the future

Published:2014-01-21 Issue:4-5 Volume:14 Page:353-366
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Kelchtermans Pieter¹²³,Bittremieux Wout⁴⁵,De Grave Kurt⁶,Degroeve Sven¹²,Ramon Jan⁶,Laukens Kris⁴⁵,Valkenborg Dirk³⁷⁸,Barsnes Harald⁹,Martens Lennart¹²

Affiliation:

1. Department of Medical Protein Research, VIB; Ghent Belgium

2. Faculty of Medicine and Health Sciences; Department of Biochemistry; Ghent University; Ghent Belgium

3. Flemish Institute for Technological Research (VITO); Boeretang Mol Belgium

4. Department of Mathematics and Computer Science; University of Antwerp; Antwerp Belgium

5. Biomedical Informatics Research Center Antwerp (biomina); University of Antwerp; Antwerp Belgium

6. Department of Computer Science, KU Leuven; Celestijnenlaan Heverlee Belgium

7. I-BioStat, Hasselt University; Belgium

8. CFP-CeProMa; University of Antwerp; Belgium

9. Proteomics Unit, Department of Biomedicine; University of Bergen; Norway

Funder

SBO grant “InSPECtor”

Research Council of Norway

Ghent University

PRIME-XS project

European Union 7th Framework Program

ERC

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201300289/fullpdf

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