| A survey on filter techniques for feature selection in gene expression microarray analysis C Lazar, J Taminau, S Meganck, D Steenhoff, A Coletta, C Molter, ... IEEE/ACM transactions on computational biology and bioinformatics 9 (4 …, 2012 | 705 | 2012 |
| Batch effect removal methods for microarray gene expression data integration: a survey C Lazar, S Meganck, J Taminau, D Steenhoff, A Coletta, C Molter, ... Briefings in bioinformatics 14 (4), 469-490, 2013 | 382 | 2013 |
| Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages J Taminau, S Meganck, C Lazar, D Steenhoff, A Coletta, C Molter, ... BMC bioinformatics 13, 1-9, 2012 | 207 | 2012 |
| Learning causal bayesian networks from observations and experiments: A decision theoretic approach S Meganck, P Leray, B Manderick International Conference on Modeling Decisions for Artificial Intelligence …, 2006 | 88 | 2006 |
| Comparison of merging and meta‐analysis as alternative approaches for integrative gene expression analysis J Taminau, C Lazar, S Meganck, A Nowé International Scholarly Research Notices 2014 (1), 345106, 2014 | 78 | 2014 |
| Comparing the predictive accuracy of case linkage methods in serious sexual assaults JM Winter, J Lemeire, S Meganck, J Geboers, G Rossi, A Mokros Journal of Investigative Psychology and Offender Profiling 10 (1), 28-56, 2013 | 54 | 2013 |
| InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor A Coletta, C Molter, R Duqué, D Steenhoff, J Taminau, V De Schaetzen, ... Genome biology 13, 1-13, 2012 | 51 | 2012 |
| System and method for similarity search in process data T Dhollander, B Baeck, S Meganck US Patent 10,789,257, 2020 | 49 | 2020 |
| inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO J Taminau, D Steenhoff, A Coletta, S Meganck, C Lazar, V de Schaetzen, ... Bioinformatics 27 (22), 3204-3205, 2011 | 48 | 2011 |
| Conservative independence-based causal structure learning in absence of adjacency faithfulness J Lemeire, S Meganck, F Cartella, T Liu International Journal of Approximate Reasoning 53 (9), 1305-1325, 2012 | 39 | 2012 |
| Descriptive subgroup mining of folk music J Taminau, R Hillewaere, S Meganck, D Conklin, A Nowé, B Manderick 2nd International Workshop on Machine Learning and Music (MML 2009), Bled …, 2009 | 20 | 2009 |
| Inference in multi-agent causal models S Maes, S Meganck, B Manderick International journal of approximate reasoning 46 (2), 274-299, 2007 | 20 | 2007 |
| Learning Semi-Markovian Causal Models using Experiments. S Meganck, S Maes, P Leray, B Manderick, I Rouen, ... Probabilistic Graphical Models, 195-206, 2006 | 18 | 2006 |
| Online adaptive learning of left-right continuous HMM for bearings condition assessment F Cartella, T Liu, S Meganck, J Lemeire, H Sahli Journal of Physics: Conference Series 364 (1), 012031, 2012 | 15 | 2012 |
| Identification of Causal Effects in Multi-Agent Causal Models. S Maes, S Meganck, B Manderick Artificial Intelligence and Applications, 178-182, 2005 | 15 | 2005 |
| Distributed learning of multi-agent causal models S Meganck, S Maes, B Manderick, P Leray IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 285-288, 2005 | 13 | 2005 |
| Causal graphical models with latent variables: Learning and inference S Meganck, P Leray, B Manderick European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2007 | 12 | 2007 |
| An integral approach to causal inference with latent variables S Maes, S Meganck, P Leray Causality and Probability in the Sciences, 17-41, 2007 | 11 | 2007 |
| GENESHIFT: a nonparametric approach for integrating microarray gene expression data based on the inner product as a distance measure between the distributions of genes C Lazar, J Taminau, S Meganck, D Steenhoff, A Coletta, DYW Solis, ... IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2013 | 9 | 2013 |
| Explaining subgroups through ontologies A Vavpetič, V Podpečan, S Meganck, N Lavrač PRICAI 2012: Trends in Artificial Intelligence: 12th Pacific Rim …, 2012 | 9 | 2012 |
Nowe AnnGewoon hoogleraarBestätigte E-Mail-Adresse bei vub.be
