(10) Optimising predictive models to prioritise viral discovery in zoonotic reservoirsD.J. Becker, G.F. Albery, A.R. Sjodin, T. Poisot, L.M. Bergner, B. Chen, L.E. Cohen, T.A. Dallas, E.A. Eskew, A.C. Fagre, M.J. Farrell, S. Guth, B.A. Han, N.B. Simmons, M. Stock, E.C. Teeling and C.J. Carlson(2022) THE LANCET MICROBE. 3, e625-e637. |
(9) Leveraging plant physiological dynamics using physical reservoir computingO. Pieters, T. De Swaef, M. Stock and F. wyffels(2022) SCIENTIFIC REPORTS. 12, 12594. |
(8) Machine learning techniques to characterize functional traits of plankton from image dataE. Orenstein, S.-D. Ayata, F. Maps, T. Biard, E. Becker, F. Benedetti, T. de Garidel-Thoron, J.S. Ellen, F. Ferrario, S.L.C. Giering, T. Guy-Haim, L. Hoebeke, M. Iversen, T. Kiørboe, J.-F. Lalonde, A. Lana, M. Laviale, F. Lombard, T. Lorimer, S. Martini, A. Meyer, K.O. Möller, B. Niehoff, M. Ohman, C. Pradalier, J.-B. Romagnan, S.-M. Schröder, V. Sonnet, H.M. Sosik, L. Stemmann, M. Stock, T. Terbiyik-Kurt, N. Valcàrcel-Pérez, L. Vilgrain, G. Wacquet, A. Waite and J.-O. Irisson(2022) LIMNOLOGY AND OCEANOGRAPHY. 67, 1647-1669. |
(7) Machine learning to assist in large-scale, activity-based synthetic cannabinoid receptor agonist screening of serum samplesL. Janssens, D. Boeckaerts, S. Hudson, D. Morozova, A. Cannaert, D.M. Wood, C. Wolfe, B. De Baets, M. Stock, P.I. Dargan and C.P. Stove(2022) CLINICAL CHEMISTRY. 68, 906-916. |
(6) Covering the combinatorial design space of multiplex CRISPR/Cas experiments in plantsK. Van Huffel, M. Stock, T. Ruttink and B. De Baets(2022) FRONTIERS IN PLANT SCIENCE. 13, 907095. |
(5) Identification of phage receptor-binding protein sequences with hidden Markov models
and an extreme gradient boosting classifier
D. Boeckaerts, M. Stock, B. De Baets and Y. Briers(2022) VIRUSES. 14, 1329. |
(4) Equivalent electrical circuits and their use across electrochemical impedance spectroscopy application domains
M. Van Haeverbeke, M. Stock and B. De Baets(2022) IEEE ACCESS. 10, 51363-51379. |
(3) Hydraulics and beyond: a review on water potential as pivotal driver of physiological processes in plant modelsT. De Swaef, O. Pieters, S. Appeltans, I. Borra-Serrano, W. Coudron, V. Couvreur, S. Garré, P. Lootens, B. Nicolaï, L. Pols, C. Saint Cast, J. Šalagovič, M. Van Haeverbeke, M. Stock and F. wyffels(2022) IN SILICO PLANTS. 4, 1-28. |
(2) BioCCP.jl: Collecting Coupons in combinatorial biotechnologyK. Van Huffel, M. Stock and B. De Baets(2022) BIOINFORMATICS. 38, 1144-1145. |
(1) Digital phagograms: predicting phage infectivity through a multi-layer machine learning approachC. Lood, D. Boeckaerts, M. Stock, B. De Baets, R. Lavigne, V. Van Noort and Y. Briers(2022) CURRENT OPINION IN VIROLOGY. 52, 174-181. |