Waegeman W - Search Results

1

Combined exposure to cyanobacteria and carbaryl results in antagonistic effects on the reproduction of Daphnia pulex.

Asselman J, Meys J, Waegeman W, De Baets B, De Schamphelaere KA. Asselman J, et al. Among authors: waegeman w. Environ Toxicol Chem. 2013 Sep;32(9):2153-8. doi: 10.1002/etc.2296. Epub 2013 Jul 19. Environ Toxicol Chem. 2013. PMID: 23733205

2

Uncertainty-aware single-cell annotation with a hierarchical reject option.

Theunissen L, Mortier T, Saeys Y, Waegeman W. Theunissen L, et al. Among authors: waegeman w. Bioinformatics. 2024 Mar 4;40(3):btae128. doi: 10.1093/bioinformatics/btae128. Bioinformatics. 2024. PMID: 38441258 Free PMC article.

3

Learning layered ranking functions with structured support vector machines.

Waegeman W, De Baets B, Boullart L. Waegeman W, et al. Neural Netw. 2008 Dec;21(10):1511-23. doi: 10.1016/j.neunet.2008.07.008. Epub 2008 Aug 20. Neural Netw. 2008. PMID: 18804954

4

From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification.

Slabbinck B, Waegeman W, Dawyndt P, De Vos P, De Baets B. Slabbinck B, et al. Among authors: waegeman w. BMC Bioinformatics. 2010 Jan 30;11:69. doi: 10.1186/1471-2105-11-69. BMC Bioinformatics. 2010. PMID: 20113515 Free PMC article.

5

Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning.

De Bruyne K, Slabbinck B, Waegeman W, Vauterin P, De Baets B, Vandamme P. De Bruyne K, et al. Among authors: waegeman w. Syst Appl Microbiol. 2011 Feb;34(1):20-9. doi: 10.1016/j.syapm.2010.11.003. Epub 2011 Feb 4. Syst Appl Microbiol. 2011. PMID: 21295428

6

The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids.

Colman E, Tas BM, Waegeman W, De Baets B, Fievez V. Colman E, et al. Among authors: waegeman w. J Dairy Sci. 2012 Oct;95(10):5845-65. doi: 10.3168/jds.2011-5130. Epub 2012 Aug 9. J Dairy Sci. 2012. PMID: 22884340 Free article.

7

A kernel-based model to predict interaction between methanotrophic and heterotrophic bacteria.

Stock M, Hoefman S, Kerckhof FM, Boon N, De Vos P, Heylen K, De Baets B, Waegeman W. Stock M, et al. Among authors: waegeman w. Commun Agric Appl Biol Sci. 2013;78(1):55-60. Commun Agric Appl Biol Sci. 2013. PMID: 23875298 No abstract available.

8

Exploration and prediction of interactions between methanotrophs and heterotrophs.

Stock M, Hoefman S, Kerckhof FM, Boon N, De Vos P, De Baets B, Heylen K, Waegeman W. Stock M, et al. Among authors: waegeman w. Res Microbiol. 2013 Dec;164(10):1045-54. doi: 10.1016/j.resmic.2013.08.006. Epub 2013 Sep 4. Res Microbiol. 2013. PMID: 24012541 Free article.

9

RECIPE COMPLETION USING MACHINE LEARNING TECHNIQUES.

De Clercq M, Stock M, De Baets B, Waegeman W. De Clercq M, et al. Among authors: waegeman w. Commun Agric Appl Biol Sci. 2015;80(1):111-6. Commun Agric Appl Biol Sci. 2015. PMID: 26630764

10

miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure.

Van Peer G, De Paepe A, Stock M, Anckaert J, Volders PJ, Vandesompele J, De Baets B, Waegeman W. Van Peer G, et al. Among authors: waegeman w. Nucleic Acids Res. 2017 Apr 20;45(7):e51. doi: 10.1093/nar/gkw1260. Nucleic Acids Res. 2017. PMID: 27986855 Free PMC article.

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