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Eugene P. van Someren: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]
Publications of Author
- Eugene P. van Someren, Marcel J. T. Reinders
Which normalization method is best? A platform-independent biologically inspired quantitative comparison of normalization methods. [Citation Graph (0, 0)][DBLP]
CSB Workshops, 2005, pp:135-136 [Conf] - Eugene P. van Someren, B. L. T. Vaes, W. T. Steegenga, A. M. Sijbers, K. J. Dechering, Marcel J. T. Reinders
Unravelling the murine osteoblast differentiation pathway by network structure analysis using time-series microarray data. [Citation Graph (0, 0)][DBLP]
CSB Workshops, 2005, pp:172-173 [Conf] - Jan C. A. van der Lubbe, Eugene P. van Someren, Marcel J. T. Reinders
Dating and Authentication of Rembrandt's Etchings with the Help of Computational Intelligence. [Citation Graph (0, 0)][DBLP]
ICHIM (1), 2001, pp:485-492 [Conf] - Eugene P. van Someren, Lodewyk F. A. Wessels, Marcel J. T. Reinders
Linear Modeling of Genetic Networks from Experimental Data. [Citation Graph (0, 0)][DBLP]
ISMB, 2000, pp:355-366 [Conf] - Lodewyk F. A. Wessels, Eugene P. van Someren, Marcel J. T. Reinders
A Comparison of Genetic Network Models. [Citation Graph (0, 0)][DBLP]
Pacific Symposium on Biocomputing, 2001, pp:508-519 [Conf] - Eugene P. van Someren, B. L. T. Vaes, W. T. Steegenga, A. M. Sijbers, K. J. Dechering, Marcel J. T. Reinders
Least absolute regression network analysis of the murine osteoblast differentiation network. [Citation Graph (0, 0)][DBLP]
Bioinformatics, 2006, v:22, n:4, pp:477-484 [Journal] - Lodewyk F. A. Wessels, Eugene P. van Someren, Marcel J. T. Reinders
Information processing for intelligent molecular diagnosis. [Citation Graph (0, 0)][DBLP]
Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1457-1465 [Journal] - Eugene P. van Someren, Lodewyk F. A. Wessels, Eric Backer, Marcel J. T. Reinders
Multi-criterion optimization for genetic network modeling. [Citation Graph (0, 0)][DBLP]
Signal Processing, 2003, v:83, n:4, pp:763-775 [Journal]
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization. [Citation Graph (, )][DBLP]
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