| SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms T Van den Bulcke, K Van Leemput, B Naudts, P van Remortel, H Ma, ... BMC bioinformatics 7, 1-12, 2006 | 382 | 2006 |
| Data integration of structured and unstructured sources for assigning clinical codes to patient stays E Scheurwegs, K Luyckx, L Luyten, W Daelemans, T Van den Bulcke Journal of the American Medical Informatics Association 23 (e1), e11-e19, 2016 | 99 | 2016 |
| VariantDB: a flexible annotation and filtering portal for next generation sequencing data G Vandeweyer, L Van Laer, B Loeys, T Van den Bulcke, RF Kooy Genome medicine 6, 1-10, 2014 | 78 | 2014 |
| Validating module network learning algorithms using simulated data T Michoel, S Maere, E Bonnet, A Joshi, Y Saeys, T Van den Bulcke, ... BMC bioinformatics 8, 1-15, 2007 | 52 | 2007 |
| Inferring transcriptional networks by mining ‘omics’ data T Van den Bulcke, K Lemmens, Y Van de Peer, K Marchal Current bioinformatics 1 (3), 301-313, 2006 | 35 | 2006 |
| Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data T Van den Bulcke, PV Broucke, V Van Hoof, K Wouters, SV Broucke, ... Journal of biomedical informatics 44 (2), 319-325, 2011 | 29 | 2011 |
| Query-based biclustering of gene expression data using Probabilistic Relational Models H Zhao, L Cloots, T Van den Bulcke, Y Wu, R De Smet, V Storms, ... BMC bioinformatics 12, 1-11, 2011 | 26 | 2011 |
| Antiviral activity of TMC125 against a panel of site-directed mutants encompassing mutations observed in vitro and in vivo [abstract 621] J Vingerhoets, I De Baere, H Azijin, T Van den Bulcke, P McKenna 11th Conference on Retroviruses and Opportunistic Infections, San Francisco …, 2004 | 13 | 2004 |
| Phenotypic and genotypic profiling of TMC114, a potent next-generation PI, against some 1600 recent PI-resistant clinical isolates S De Meyer, H Van Marck, T Van Den Bulcke, J Vingerhoets, H Azijn, ... 11th Conference on Retroviruses and Opportunistic Infection, 8-11, 2004 | 12 | 2004 |
| De-identification of clinical free text in Dutch with limited training data: a case study E Scheurwegs, K Luyckx, F Van der Schueren, T Van den Bulcke Proceedings of the Workshop on NLP for Medicine and Biology associated with …, 2013 | 11 | 2013 |
| Pastel: a semantic platform for assisted clinical trial patient recruitment D Damen, K Luyckx, G Hellebaut, T Van den Bulcke 2013 IEEE International Conference on Healthcare Informatics, 269-276, 2013 | 6 | 2013 |
| Robust algorithms for inferring regulatory networks based on gene expression measurements and biological prior information T Van den Bulcke PhD Thesis, 2009 | 6 | 2009 |
| Application of multiple linear regression modelling to the quantitative prediction of HIV-1 drug susceptibility phenotype from viral genotype H Vermeiren, T Van den Bulcke, H Van Marck, P Lecocq, M Van Houtte, ... Antiviral therapy 9 (4), U89-U90, 2004 | 5 | 2004 |
| Exploring the operational characteristics of inference algorithms for transcriptional networks by means of synthetic data K Van Leemput, T Van den Bulcke, T Dhollander, B De Moor, K Marchal, ... MIT Press 14 (1), 49-63, 2008 | 4 | 2008 |
| Towards a flexible semantic framework for clinical trial eligibility using topic maps D Damen, T Van den Bulcke Proceedings of the ACM SIGKDD Workshop on Health Informatics, HI-KDD 12, 2012 | 3 | 2012 |
| ViTraM: visualization of transcriptional modules H Sun, K Lemmens, TV Bulcke, K Engelen, BD Moor, K Marchal Bioinformatics 25 (18), 2450-2451, 2009 | 3 | 2009 |
| Benchmarking gene network inference algorithms using synthetic gene expression data T Van den Bulcke, K Van Leemput, P van Remortel, B Naudts, B De Moor, ... KDECB 2006, 52, 2006 | 3 | 2006 |
| The Virtual Phenotype: A quantitative prediction of HIV drug susceptibility from viral genotype L Bacheler, H van Marck, H Vermeiren, T Van Den Bulcke, P LeCocq HIV Med 4, 178, 2003 | 3 | 2003 |
| Extracting functional insights from loss-of-function screens using deep link prediction PP Strybol, M Larmuseau, LS van Brienen, T Van den Bulcke, K Marchal Cell Reports Methods 2 (2), 2022 | 2 | 2022 |
| Computational method for predicting the contribution of mutations to the drug resistance phenotype exhibited by hiv based on a linear regression analysis of the log fold resistance HGE Van Marck, TG Van Den Bulcke, HV Vermeiren US Patent App. 12/359,535, 2009 | 2 | 2009 |
De Moor BartKU Leuven ESAT-StadiusVerified email at esat.kuleuven.be
