Tim Van den Bulcke
Tim Van den Bulcke
Senior Data Scientist
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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
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
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
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
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
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), 1-11, 2011
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
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
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
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
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
Robust algorithms for inferring regulatory networks based on gene expression measurements and biological prior information
T Van den Bulcke
PhD Thesis, 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
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
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
ViTraM: visualization of transcriptional modules
H Sun, K Lemmens, TV Bulcke, K Engelen, BD Moor, K Marchal
Bioinformatics 25 (18), 2450-2451, 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
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
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
Quantitative prediction method
H Van Marck, T Van Den Bulcke, H Vermeiren
US Patent App. 10/559,899, 2007
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