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Johan Björkegren: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. José M. Peña, Johan Björkegren, Jesper Tegnér
    Growing Bayesian network models of gene networks from seed genes. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:229- [Conf]
  2. Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
    Evaluating Feature Selection for SVMs in High Dimensions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:719-726 [Conf]
  3. José M. Peña, Johan Björkegren, Jesper Tegnér
    Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:136-147 [Conf]
  4. Kristofer Hallén, Johan Björkegren, Jesper Tegnér
    Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:51- [Journal]
  5. José M. Peña, Johan Björkegren, Jesper Tegnér
    Learning dynamic Bayesian network models via cross-validation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:14, pp:2295-2308 [Journal]
  6. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
    Identifying the Relevant Nodes Without Learning the Model. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  7. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
    Towards scalable and data efficient learning of Markov boundaries. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:2, pp:211-232 [Journal]

  8. Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. [Citation Graph (, )][DBLP]


  9. Detecting multivariate differentially expressed genes. [Citation Graph (, )][DBLP]


  10. On reliable discovery of molecular signatures. [Citation Graph (, )][DBLP]


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