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Lodewyk F. A. Wessels: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Theo A. Knijnenburg, Lodewyk F. A. Wessels, Marcel J. T. Reinders
    Condition Transition Analysis Reveals TF Activity Related to Nutrient-Limitation-Specific Effects of Oxygen Presence in Yeast. [Citation Graph (0, 0)][DBLP]
    CMSB, 2006, pp:271-284 [Conf]
  2. R. J. P. van Berlo, Lodewyk F. A. Wessels, S. D. C. Martes, Marcel J. T. Reinders
    Identifying Orthologs: Cycle Splitting on the Breakpoint Graph. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:65-68 [Conf]
  3. R. J. P. van Berlo, Lodewyk F. A. Wessels, S. D. C. Martes, Marcel J. T. Reinders
    Predicting gene function by combining expression and interaction data. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:166-167 [Conf]
  4. Theo A. Knijnenburg, Marcel J. T. Reinders, J. M. Daran, P. Daran-Lapujade, Lodewyk F. A. Wessels
    Relating transcription factors, modules of genes and cultivation conditions in Saccharomyces cerevisiae. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:71-72 [Conf]
  5. 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]
  6. 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]
  7. Peter J. van der Veen, Lodewyk F. A. Wessels, J. W. Slootstra, R. H. Meloen, Marcel J. T. Reinders, J. Hellendoorn
    Determination of Binding Amino Acids Based on Random Peptide Array Screening Data. [Citation Graph (0, 0)][DBLP]
    WABI, 2001, pp:264-277 [Conf]
  8. Lodewyk F. A. Wessels, Marcel J. T. Reinders, Augustinus A. M. Hart, Cor J. Veenman, Hongyue Dai, Yudong D. He, Laura J. van't Veer
    A protocol for building and evaluating predictors of disease state based on microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:19, pp:3755-3762 [Journal]
  9. Carmen Lai, Marcel J. T. Reinders, Laura J. van't Veer, Lodewyk F. A. Wessels
    A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:235- [Journal]
  10. Theo A. Knijnenburg, Marcel J. T. Reinders, Lodewyk F. A. Wessels
    Artifacts of Markov blanket filtering based on discretized features in small sample size applications. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:7, pp:709-714 [Journal]
  11. Carmen Lai, Marcel J. T. Reinders, Lodewyk F. A. Wessels
    Random subspace method for multivariate feature selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:10, pp:1067-1076 [Journal]
  12. 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]
  13. 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]
  14. Yunlei Li, Lodewyk F. A. Wessels, Dick de Ridder, Marcel J. T. Reinders
    Classification in the presence of class noise using a probabilistic Kernel Fisher method. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3349-3357 [Journal]
  15. Yunlei Li, Lodewyk F. A. Wessels, Dick de Ridder, Marcel J. T. Reinders
    Erratum to "Classification in the presence of class noise using a probabilistic kernel fisher method": [Pattern Recognition 40 (12) 3349-3357]. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:3, pp:1214- [Journal]

  16. Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes. [Citation Graph (, )][DBLP]


  17. Combinatorial influence of environmental parameters on transcription factor activity. [Citation Graph (, )][DBLP]


  18. Fewer permutations, more accurate P-values. [Citation Graph (, )][DBLP]


  19. Inferring combinatorial association logic networks in multimodal genome-wide screens. [Citation Graph (, )][DBLP]


  20. SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets. [Citation Graph (, )][DBLP]


  21. Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data. [Citation Graph (, )][DBLP]


  22. Analysis of mass spectrometry data using sub-spectra. [Citation Graph (, )][DBLP]


  23. Knowledge driven decomposition of tumor expression profiles. [Citation Graph (, )][DBLP]


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