Johan Björkegren

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 1

Top Topics

Automatically Learned

Connectionist Networks

Cancer Classification

Top Venues

Publications

Pau Erola, Johan Björkegren, Tom Michoel
Model-based clustering of multi-tissue gene expression data. Bioinform. 36 (6) (2020)
Jianlong Qi, Hassan Asl, Johan Björkegren, Tom Michoel
kruX: matrix-based non-parametric eQTL discovery. BMC Bioinform. 15 (2014)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Identifying the Relevant Nodes Without Learning the Model. CoRR (2012)
Roland Nilsson, Johan Björkegren, Jesper Tegnér
On reliable discovery of molecular signatures. BMC Bioinform. 10 (2009)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. J. Mach. Learn. Res. 10 (2009)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reason. 45 (2) (2007)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Detecting multivariate differentially expressed genes. BMC Bioinform. 8 (2007)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Consistent Feature Selection for Pattern Recognition in Polynomial Time. J. Mach. Learn. Res. 8 (2007)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Identifying the Relevant Nodes Without Learning the Model. UAI (2006)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. Probabilistic Graphical Models (2006)
Kristofer Hallén, Johan Björkegren, Jesper Tegnér
Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. BMC Bioinform. 7 (2006)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Evaluating Feature Selection for SVMs in High Dimensions. ECML (2006)
José M. Peña, Johan Björkegren, Jesper Tegnér
Growing Bayesian network models of gene networks from seed genes. ECCB/JBI (2005)
José M. Peña, Johan Björkegren, Jesper Tegnér
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. ECSQARU (2005)
José M. Peña, Johan Björkegren, Jesper Tegnér
Learning dynamic Bayesian network models via cross-validation. Pattern Recognit. Lett. 26 (14) (2005)