Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 109

1.

Flow cytometric fingerprinting for microbial strain discrimination and physiological characterization.

Buysschaert B, Kerckhof FM, Vandamme P, De Baets B, Boon N.

Cytometry A. 2018 Feb;93(2):201-212. doi: 10.1002/cyto.a.23302. Epub 2017 Dec 20.

PMID:
29266796
2.

Dietary species richness as a measure of food biodiversity and nutritional quality of diets.

Lachat C, Raneri JE, Smith KW, Kolsteren P, Van Damme P, Verzelen K, Penafiel D, Vanhove W, Kennedy G, Hunter D, Odhiambo FO, Ntandou-Bouzitou G, De Baets B, Ratnasekera D, Ky HT, Remans R, Termote C.

Proc Natl Acad Sci U S A. 2018 Jan 2;115(1):127-132. doi: 10.1073/pnas.1709194115. Epub 2017 Dec 18.

3.

Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (Gadus morhua) stored under modified atmospheres.

Kuuliala L, Al Hage Y, Ioannidis AG, Sader M, Kerckhof FM, Vanderroost M, Boon N, De Baets B, De Meulenaer B, Ragaert P, Devlieghere F.

Food Microbiol. 2018 Apr;70:232-244. doi: 10.1016/j.fm.2017.10.011. Epub 2017 Oct 24.

PMID:
29173632
4.

Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research.

Yang C, Pinart M, Kolsteren P, Van Camp J, De Cock N, Nimptsch K, Pischon T, Laird E, Perozzi G, Canali R, Hoge A, Stelmach-Mardas M, Dragsted LO, Palombi SM, Dobre I, Bouwman J, Clarys P, Minervini F, De Angelis M, Gobbetti M, Tafforeau J, Coltell O, Corella D, De Ruyck H, Walton J, Kehoe L, Matthys C, De Baets B, De Tré G, Bronselaer A, Rivellese A, Giacco R, Lombardo R, De Clercq S, Hulstaert N, Lachat C.

Adv Nutr. 2017 Sep 15;8(5):639-651. doi: 10.3945/an.117.015651. Print 2017 Sep.

PMID:
28916566
5.

Linear filtering reveals false negatives in species interaction data.

Stock M, Poisot T, Waegeman W, De Baets B.

Sci Rep. 2017 Apr 6;7:45908. doi: 10.1038/srep45908.

6.

Identification of A. arborescens, A. grandis, and A. protenta as new members of the European Alternaria population on potato.

Landschoot S, Vandecasteele M, De Baets B, Höfte M, Audenaert K, Haesaert G.

Fungal Biol. 2017 Feb;121(2):172-188. doi: 10.1016/j.funbio.2016.11.005. Epub 2016 Dec 8.

PMID:
28089048
7.

The impact of resource dependence of the mechanisms of life on the spatial population dynamics of an in silico microbial community.

Daly AJ, Baetens JM, De Baets B.

Chaos. 2016 Dec;26(12):123121. doi: 10.1063/1.4972788.

PMID:
28039986
8.

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.

Nucleic Acids Res. 2017 Apr 20;45(7):e51. doi: 10.1093/nar/gkw1260.

9.

Predictions of methane emission levels and categories based on milk fatty acid profiles from dairy cows.

Castro-Montoya JM, Peiren N, Veneman J, De Baets B, De Campeneere S, Fievez V.

Animal. 2017 Jul;11(7):1153-1162. doi: 10.1017/S1751731116002627. Epub 2016 Dec 15.

PMID:
27974080
10.

Modelling three-dimensional fungal growth in response to environmental stimuli.

Vidal-Diez de Ulzurrun G, Baetens JM, Van den Bulcke J, De Baets B.

J Theor Biol. 2017 Feb 7;414:35-49. doi: 10.1016/j.jtbi.2016.11.020. Epub 2016 Nov 24.

PMID:
27889411
11.

Spatially Explicit Modelling of the Belgian Major Endurance Event 'The 100 km Dodentocht'.

Van Nieuland S, Baetens JM, De Baets B.

PLoS One. 2016 Oct 20;11(10):e0164981. doi: 10.1371/journal.pone.0164981. eCollection 2016.

12.

In silico substrate dependence increases community productivity but threatens biodiversity.

Daly AJ, Baetens JM, De Baets B.

Phys Rev E. 2016 Apr;93:042414. doi: 10.1103/PhysRevE.93.042414. Epub 2016 Apr 22.

PMID:
27176336
13.

Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction.

De Coninck A, De Baets B, Kourounis D, Verbosio F, Schenk O, Maenhout S, Fostier J.

Genetics. 2016 May;203(1):543-55. doi: 10.1534/genetics.115.179887. Epub 2016 Mar 2.

14.

Prediction of specialty coffee cup quality based on near infrared spectra of green coffee beans.

Tolessa K, Rademaker M, De Baets B, Boeckx P.

Talanta. 2016 Apr 1;150:367-74. doi: 10.1016/j.talanta.2015.12.039. Epub 2015 Dec 17.

PMID:
26838420
15.

Separability Criteria for the Evaluation of Boundary Detection Benchmarks.

Lopez-Molina C, Bustince H, De Baets B.

IEEE Trans Image Process. 2016 Mar;25(3):1047-55. doi: 10.1109/TIP.2015.2510284. Epub 2015 Dec 17.

16.

PREDICTING CONSUMER ACCEPTANCE OF PACKAGED MEAT USING L1-REGULARIZED ORDINAL REGRESSION.

Sader M, Verwaeren J, Ioannidis AG, Vanderroost M, Devlieghere F, De Baets B.

Commun Agric Appl Biol Sci. 2015;80(1):123-7. No abstract available.

PMID:
26630766
17.

INCLUDING EXPLICIT MARKER-BY-ENVIRONMENT INTERACTION FOR LARGE-SCALE GENOMIC PREDICTION.

De Coninck A, Kourounis D, Verbosio F, Schenk O, De Baets B, Maenhout S, Fostier J.

Commun Agric Appl Biol Sci. 2015;80(1):117-21. No abstract available.

PMID:
26630765
18.

RECIPE COMPLETION USING MACHINE LEARNING TECHNIQUES.

De Clercq M, Stock M, De Baets B, Waegeman W.

Commun Agric Appl Biol Sci. 2015;80(1):111-6.

PMID:
26630764
19.

THE IMPACT OF INITIAL EVENNESS ON THE PRESERVATION OF BIODIVERSITY FOR IN SILICO BACTERIAL COMMUNITIES: A STOCHASTIC, SPATIAL INDIVIDUAL-BASED MODEL.

Daly AJ, Baetens JM, De Baets B.

Commun Agric Appl Biol Sci. 2015;80(1):17-22. No abstract available.

PMID:
26630750
20.

The impact of initial evenness on biodiversity maintenance for a four-species in silico bacterial community.

Daly AJ, Baetens JM, De Baets B.

J Theor Biol. 2015 Dec 21;387:189-205. doi: 10.1016/j.jtbi.2015.09.036. Epub 2015 Oct 13.

PMID:
26458785
21.

Automated image-based analysis of spatio-temporal fungal dynamics.

Vidal-Diez de Ulzurrun G, Baetens JM, Van den Bulcke J, Lopez-Molina C, De Windt I, De Baets B.

Fungal Genet Biol. 2015 Nov;84:12-25. doi: 10.1016/j.fgb.2015.09.004. Epub 2015 Sep 11.

PMID:
26365383
22.

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

Stock M, Fober T, Hüllermeier E, Glinca S, Klebe G, Pahikkala T, Airola A, De Baets B, Waegeman W.

IEEE/ACM Trans Comput Biol Bioinform. 2014 Nov-Dec;11(6):1157-69. doi: 10.1109/TCBB.2014.2338308.

PMID:
26357052
23.

Participatory Patterns in an International Air Quality Monitoring Initiative.

Sîrbu A, Becker M, Caminiti S, De Baets B, Elen B, Francis L, Gravino P, Hotho A, Ingarra S, Loreto V, Molino A, Mueller J, Peters J, Ricchiuti F, Saracino F, Servedio VD, Stumme G, Theunis J, Tria F, Van den Bossche J.

PLoS One. 2015 Aug 27;10(8):e0136763. doi: 10.1371/journal.pone.0136763. eCollection 2015.

24.

Exploring Dance Movement Data Using Sequence Alignment Methods.

Chavoshi SH, De Baets B, Neutens T, De Tré G, Van de Weghe N.

PLoS One. 2015 Jul 16;10(7):e0132452. doi: 10.1371/journal.pone.0132452. eCollection 2015.

25.

Milk fatty acids as possible biomarkers to diagnose hyperketonemia in early lactation.

Jorjong S, van Knegsel AT, Verwaeren J, Bruckmaier RM, De Baets B, Kemp B, Fievez V.

J Dairy Sci. 2015 Aug;98(8):5211-21. doi: 10.3168/jds.2014-8728. Epub 2015 Jun 17.

PMID:
26094221
26.

A new protocol for evaluating the efficacy of some dispensing systems of a packaging in the microbial protection of water-based preservative-free cosmetic products.

Devlieghere F, De Loy-Hendrickx A, Rademaker M, Pipelers P, Crozier A, De Baets B, Joly L, Keromen S.

Int J Cosmet Sci. 2015 Dec;37(6):627-35. doi: 10.1111/ics.12240. Epub 2015 Jun 2.

PMID:
25945793
27.

A decoy-free approach to the identification of peptides.

Gonnelli G, Stock M, Verwaeren J, Maddelein D, De Baets B, Martens L, Degroeve S.

J Proteome Res. 2015 Apr 3;14(4):1792-8. doi: 10.1021/pr501164r. Epub 2015 Mar 6.

PMID:
25714903
28.

A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks.

Reggente M, Peters J, Theunis J, Van Poppel M, Rademaker M, De Baets B, Kumar P.

Environ Pollut. 2015 Apr;199:209-18. doi: 10.1016/j.envpol.2015.01.034. Epub 2015 Feb 11.

PMID:
25681816
29.

Milk fatty acids as possible biomarkers to early diagnose elevated concentrations of blood plasma nonesterified fatty acids in dairy cows.

Jorjong S, van Knegsel AT, Verwaeren J, Lahoz MV, Bruckmaier RM, De Baets B, Kemp B, Fievez V.

J Dairy Sci. 2014 Nov;97(11):7054-64. doi: 10.3168/jds.2014-8039. Epub 2014 Sep 6.

30.

Multi-criteria anomaly detection in urban noise sensor networks.

Dauwe S, Oldoni D, De Baets B, Van Renterghem T, Botteldooren D, Dhoedt B.

Environ Sci Process Impacts. 2014;16(10):2249-58. doi: 10.1039/c4em00273c.

PMID:
25158107
31.

DAIRRy-BLUP: a high-performance computing approach to genomic prediction.

De Coninck A, Fostier J, Maenhout S, De Baets B.

Genetics. 2014 Jul;197(3):813-22. doi: 10.1534/genetics.114.163683. Epub 2014 Apr 15.

32.

A high performance computing approach for genomic prediction.

De Coninck A, Fostier J, Maenhout S, De Baets B.

Commun Agric Appl Biol Sci. 2014;79(1):115-9. No abstract available.

PMID:
25864324
33.

Animal migration modeling: an analytical description of the two-dimensional time-integrated Brownian bridge.

Van Nieuland S, Baetens JM, De Meyer H, De Baets B.

Commun Agric Appl Biol Sci. 2014;79(1):27-32. No abstract available.

PMID:
25864309
34.

Towards a lattice-free three-dimensional fungal growth model.

De Ulzurrun GV, Baetens JM, De Baets B, Van Den Bulcke J.

Commun Agric Appl Biol Sci. 2014;79(1):9-14. No abstract available.

PMID:
25864306
35.

StrainInfo introduces electronic passports for microorganisms.

Verslyppe B, De Smet W, De Baets B, De Vos P, Dawyndt P.

Syst Appl Microbiol. 2014 Feb;37(1):42-50. doi: 10.1016/j.syapm.2013.11.002. Epub 2013 Dec 8.

PMID:
24321274
36.

Classification of Nitrate Polluting Activities through Clustering of Isotope Mixing Model Outputs.

Xue D, De Baets B, Van Cleemput O, Hennessy C, Berglund M, Boeckx P.

J Environ Qual. 2013 Sep;42(5):1486-97. doi: 10.2134/jeq2012.0456.

PMID:
24216426
37.

Filtering and ranking techniques for automated selection of high-quality 16S rRNA gene sequences.

De Smet W, De Loof K, De Vos P, Dawyndt P, De Baets B.

Syst Appl Microbiol. 2013 Dec;36(8):549-59. doi: 10.1016/j.syapm.2013.09.001. Epub 2013 Oct 22.

PMID:
24161830
38.

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.

Res Microbiol. 2013 Dec;164(10):1045-54. doi: 10.1016/j.resmic.2013.08.006. Epub 2013 Sep 4.

PMID:
24012541
39.

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.

Commun Agric Appl Biol Sci. 2013;78(1):55-60. No abstract available.

PMID:
23875298
40.

A computational model of auditory attention for use in soundscape research.

Oldoni D, De Coensel B, Boes M, Rademaker M, De Baets B, Van Renterghem T, Botteldooren D.

J Acoust Soc Am. 2013 Jul;134(1):852-61. doi: 10.1121/1.4807798.

PMID:
23862891
41.

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.

Environ Toxicol Chem. 2013 Sep;32(9):2153-8. doi: 10.1002/etc.2296. Epub 2013 Jul 19.

PMID:
23733205
42.

Towards combinatorial spectroscopy: the case of minor milk fatty acids determination.

Stefanov I, Baeten V, De Baets B, Fievez V.

Talanta. 2013 Aug 15;112:101-10. doi: 10.1016/j.talanta.2013.02.034. Epub 2013 Feb 27.

PMID:
23708544
43.

Grain-based versus alfalfa-based subacute ruminal acidosis induction experiments: Similarities and differences between changes in milk fatty acids.

Colman E, Khafipour E, Vlaeminck B, De Baets B, Plaizier JC, Fievez V.

J Dairy Sci. 2013 Jul;96(7):4100-11. doi: 10.3168/jds.2012-6109. Epub 2013 Apr 28.

PMID:
23628250
44.

The incorporation of variability and uncertainty evaluations in WWTP design by means of stochastic dynamic modeling: the case of the Eindhoven WWTP upgrade.

Benedetti L, Belia E, Cierkens K, Flameling T, De Baets B, Nopens I, Weijers S.

Water Sci Technol. 2013;67(8):1841-50. doi: 10.2166/wst.2013.064.

PMID:
23579841
45.

Influence of sampling strategies on the estimated nitrous oxide emission from wastewater treatment plants.

Daelman MR, De Baets B, van Loosdrecht MC, Volcke EI.

Water Res. 2013 Jun 1;47(9):3120-30. doi: 10.1016/j.watres.2013.03.016. Epub 2013 Mar 21.

PMID:
23557698
46.

A GLUE uncertainty analysis of a drying model of pharmaceutical granules.

Mortier ST, Van Hoey S, Cierkens K, Gernaey KV, Seuntjens P, De Baets B, De Beer T, Nopens I.

Eur J Pharm Biopharm. 2013 Nov;85(3 Pt B):984-95. doi: 10.1016/j.ejpb.2013.03.012. Epub 2013 Mar 29.

PMID:
23542609
47.

Evaluation of FT-NIR and ATR-FTIR spectroscopy techniques for determination of minor odd- and branched-chain saturated and trans unsaturated milk fatty acids.

Stefanov I, Baeten V, Abbas O, Vlaeminck B, De Baets B, Fievez V.

J Agric Food Chem. 2013 Apr 10;61(14):3403-13. doi: 10.1021/jf304515v. Epub 2013 Mar 25.

PMID:
23419189
48.

essaMEM: finding maximal exact matches using enhanced sparse suffix arrays.

Vyverman M, De Baets B, Fack V, Dawyndt P.

Bioinformatics. 2013 Mar 15;29(6):802-4. doi: 10.1093/bioinformatics/btt042. Epub 2013 Jan 24.

PMID:
23349213
49.

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.

J Dairy Sci. 2012 Oct;95(10):5845-65. doi: 10.3168/jds.2011-5130. Epub 2012 Aug 9. Erratum in: J Dairy Sci. 2013 Feb;96(2):1323.

PMID:
22884340
50.

A scenario analysis for reducing organic priority pollutants in receiving water using integrated dynamic urban fate models.

Gevaert V, Verdonck F, De Baets B.

Sci Total Environ. 2012 Aug 15;432:422-31. doi: 10.1016/j.scitotenv.2012.05.064.

PMID:
22832065

Supplemental Content

Loading ...
Support Center