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Vakgroep Data-analyse en Wiskundige Modellering (UGent)
https://www.ugent.be/bw/damm/en

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

Address:
Coupure Links 653
9000 Gent
Belgium

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

Associated to an institute part (2)  Top | Institute | Publications 

Child institute  Top | Publications 
  • Universiteit Gent; Faculteit Bio-ingenieurswetenschappen; Vakgroep Data-analyse en Wiskundige Modellering; BIOMATH (UGent), more

Publications (8)  Top | Institute 
    ( 7 peer reviewed ) split up filter
  • 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. https://hdl.handle.net/10.1002/cyto.a.23952, 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. https://hdl.handle.net/10.1021/acs.analchem.9b05806, 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. https://hdl.handle.net/10.1128/aem.02814-18, 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. https://hdl.handle.net/10.1002/cyto.a.23792, 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. https://hdl.handle.net/10.1128/msystems.00093-19, 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. https://hdl.handle.net/10.1016/j.mimet.2018.05.027, 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. https://hdl.handle.net/10.1016/j.watres.2018.08.013, 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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