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Vakgroep Data-analyse en Wiskundige Modellering (UGent)

English name: Department of Data Analysis and Mathematical Modelling
Parent institute: Universiteit Gent; Faculteit Bio-ingenieurswetenschappen (UGent-FBW), more

Coupure Links 653
9000 Gent

Tel.: +32-(0)9-264 59 04
Fax: +32-(0)9-264 62 44
 Institutes | Publications 
Type: Scientific

Associated to an institute part (7)  Top | Institutes | Publications 

Child institutes (2)  Top | Publications 
  • Universiteit Gent; Faculteit Bio-ingenieurswetenschappen; Vakgroep Data-analyse en Wiskundige Modellering; BIOMATH (UGent), more
  • Universiteit Gent; Research Unit Knowledge-Based Systems (UGent-KERMIT), more

Publications (11)  Top | Institutes 
    ( 10 peer reviewed ) split up filter
  • Peer reviewed article Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). Cytometric fingerprints of gut microbiota predict Crohn’s disease state. ISME J. 15(1): 354-358., more
  • Peer reviewed article Stock, M.; Nguyen, B.; Courtens, W.; Verstraete, H.; Stienen, E.; De Baets, B. (2021). Otolith identification using a deep hierarchical classification model. Comput. Electron. Agric. 180: 105883., more
  • Peer reviewed article Bruneel, S.; Verhelst, P.; Reubens, J.; Luca, S.; Coeck, J.; Moens, T.; Goethals, P. (2020). Combining disciplines: dealing with observed and cryptic animal residencies in passive telemetry data by applying econometric decision-making models. Ecol. Model. 438: 109340., more
  • Peer reviewed article García-Timermans, C.; Rubbens, P.; Heyse, J.; Kerckhof, F.-M.; Props, R.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2020). Discriminating bacterial phenotypes at the population and single‐cell level: a comparison of flow cytometry and Raman spectroscopy fingerprinting. Cytometry A 97(7): 713-726., more
  • Peer reviewed article Papagiannopoulou, C.; Parchen, R.; Rubbens, P.; Waegeman, W. (2020). Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods. Anal. Chem. 92(11): 7523-7531., more
  • Peer reviewed article Heyse, J.; Buysschaert, B.; Props, R.; Rubbens, P.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2019). Coculturing bacteria leads to reduced phenotypic heterogeneities. Appl. Environ. Microbiol. 85(8): e02814-18., more
  • Peer reviewed article Nguyen, B.; Rubbens, P.; Kerckhof, F.-M.; Boon, N.; De Baets, B.; Waegeman, W. (2019). Learning single‐cell distances from cytometry data. Cytometry A 95(7): 782-791., more
  • Peer reviewed article Rubbens, P.; Schmidt, M.L.; Props, R.; Biddanda, B.A.; Boon, N.; Waegeman, W.; Denef, V.J. (2019). Randomized Lasso links microbial taxa with aquatic functional groups inferred from flow cytometry. mSystems 4(5): e00093-19., more
  • Peer reviewed article García-Timermans, C.; Rubbens, P.; Kerckhof, F.-M.; Buysschaert, B.; Khalenkow, D.; Waegeman, W.; Skirtach, A.G.; Boon, N. (2018). Label-free Raman characterization of bacteria calls for standardized procedures. J. microbiol. methods 151: 69-75., more
  • Peer reviewed article Props, R.; Rubbens, P.; Besmer, M.; Buysschaert, B.; Sigrist, J.; Weilenmann, H.; Waegeman, W.; Boon, N.; Hammes, F. (2018). Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data. Wat. Res. 145: 73-82., more
  • García-Timermans, C.; Rubbens, P.; Kerckhof, F.M.; Waegeman, W.; Boon, N. (2019). Fingerprinting microbial communities through flow cytometry and Raman spectroscopy, in: BAGECO 15. 15th Symposium on Bacterial Genetics and Ecology: "Ecosystem drivers in a changing planet", 26–30 May 2019, Lisbon/Portugal. pp. 155, more

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