Research Group of Quantitative Psychology and Individual Differences

Tijl De Bie

Tijl De Bie

Group by: Type / Year & Type

De Bie, T., & Cristianini, N. (2006). Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems. Journal of Machine Learning Research, 7, 1409-1436.
De Bie, T., Cristianini, N., Demuth, J. P., & Hahn, M. W. (2006). CAFE: A computational tool for the study of gene family evolution. Bioinformatics, 22, 1269-1271. doi:10.1093/bioinformatics/btl097
De Bie, T., Tranchevent, L. C., van Oeffelen, L. M., & Moreau, Y. (2007). Kernel-based data fusion for gene prioritization. Bioinformatics, 23, 125-132. doi:10.1093/bioinformatics/btm187
Demuth, J. P., De Bie, T., Stajich, J. E., Cristianini, N., & Hahn, M. W. (2006). The evolution of mammalian gene families. PLoS ONE, 1, e85, 1-10. doi:10.1371/journal.pone.0000085
Lemmens, K., Dhollander, T., De Bie, T., Monsieurs, P., Engelen, K., Smets, B., Winderickx, J., De Moor, B., & Marchal, K. (2006). Inferring transcriptional modules from ChIP-chip, motif and microarray data. Genome Biology, 7, R37, 1-14. doi:10.1186/gb-2006-7-5-r37

De Bie, T., & Cristianini, N. (2006). Semi-supervised learning using semi-definite programming. In O. Chapelle, B. Schoelkopf, & A. Zien (Eds.), Semi-supervised learning (pp. 113-130). Cambridge: MIT Press.
Pochet, N. L. M. M., Ojeda, F., De Smet, F., De Bie, T., Suykens, J. A. K., & De Moor, B. L. R. (2006). Kernel clustering for knowledge discovery in clinical microarray data analysis. In G. Camps-Valls, J. L. Rojo-Alvarez, & M. Martinez-Ramon (Eds.), Kernel methods in bioengineering, signal and image processing (pp. 65-93). Hershey, Pennsylvania (US): Idea Group Inc.