DA Abbott, TA Knijnenburg, LMI de Poorter, MJT Reinders, JT Pronk, AJA van Maris (2007), Absence of a generic transcriptional response to different weak organic acids in anaerobic chemostat cultures of Saccharomyces cerevisiae.

W Meuleman, LFA Wessels, MJT Reinders (2007), Analysis of mass spectrometry data using wavelets and sub-spectra.

W Meuleman, LFA Wessels, MJT Reinders (2007), Analysis of mass spectrometry data:wavelets and sub-spectra, F.W. Jansen, G.E.O. Pierre, C.J. Veenman, J.W.J. Heijnsdijk (Eds.), In Proceedings of the thirteenth annual conference of the Advanced School of Computing and Imaging p.174-178.

J Yang, M Clements, JA Pouwelse, AP de Vries, MJT Reinders (2007), An epidemic-based P2P recommender system, W Kraaij, AP de Vries, CLA Clarke, N Fuhr, N Kando (Eds.), In Proceedings of the 1st workshop on Large-Scale Distributed Systems for Information Retrieval p.11-15, Association for Computing Machinery (ACM).

Y Li, D de Ridder, RPW Duin, MJT Reinders (2007), An integrative Kernel method dealing with diverse measurement noise in classification, F.W. Jansen, G.E.O. Pierre, C.J. Veenman, J.W.J. Heijnsdijk (Eds.), In Proceedings of the thirteenth annual Conference of the Advanced School for Computing and imaging p.127-134.

JF Lichtenauer, MJT Reinders, EA Hendriks (2007), A self-calibrating chrominance model applied to skin color detection, A Ranchordas, H Araujo, J Vitria (Eds.), In Proceedings of the Second International Conference on Compuer Vision Theory and Applications p.1-6.

C Klijn, H Holstege, E Schut, MJT Reinders, J de Ridder, J Jonkers, LFA Wessels (2007), Candidate cancer gene discovery using KC-smart: a novel method for statistical multi-experiment ACGH data analysis, s.n. (Eds.), In Abstracts of the 1st MC-CARD Meeting p.121-121, IOS Press.

C Lai, HHM Horlings, M van de Vijver, LFA Wessels, MJT Reinders (2007), Chromosomal aberration in aCGH: a supervised search of relevant genes.

Y Li, LFA Wessels, D de Ridder, MJT Reinders (2007), Classification in the prensence of class noise using a probabilistic Kernel Fisher method, In Pattern Recognition Volume 40 p.3349-3357.