Jesper Tegnér

Andrew E. Teschendorff, Francesco Marabita, Matthias Lechner, Thomas Bartlett, Jesper Tegnér, David Gomez-Cabrero, Stephan Beck: A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics 29(2): 189-196 (2013)

Roland Nilsson, Johan Björkegren, Jesper Tegnér: On reliable discovery of molecular signatures. BMC Bioinformatics 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. Journal of Machine Learning Research 10: 1071-1094 (2009)

Isaac Shemer, Björn Brinne, Jesper Tegnér, Sten Grillner: Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus. PLoS Computational Biology 4(3) (2008)

Jesper Tegnér: Networks in Biology - From Identification, Analysis to Interpretation. Graph Drawing 2008: 1

Julian Macoveanu, Torkel Klingberg, Jesper Tegnér: Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task. Biological Cybernetics 96(4): 407-419 (2007)

Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér: Detecting multivariate differentially expressed genes. BMC Bioinformatics 8 (2007)

José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér: Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reasoning 45(2): 211-232 (2007)

Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér: Consistent Feature Selection for Pattern Recognition in Polynomial Time. Journal of Machine Learning Research 8: 589-612 (2007)

Fredrik Edin, Julian Macoveanu, Pernille Olesen, Jesper Tegnér, Torkel Klingberg: Stronger Synaptic Connectivity as a Mechanism behind Development of Working Memory-related Brain Activity during Childhood. J. Cognitive Neuroscience 19(5): 750-760 (2007)

Kristofer Hallén, Johan Björkegren, Jesper Tegnér: Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. BMC Bioinformatics 7: 51 (2006)

Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér: Evaluating Feature Selection for SVMs in High Dimensions. ECML 2006: 719-726

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: 247-254

José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér: Identifying the Relevant Nodes Without Learning the Model. UAI 2006

José M. Peña, Johan Björkegren, Jesper Tegnér: Learning dynamic Bayesian network models via cross-validation. Pattern Recognition Letters 26(14): 2295-2308 (2005)

José M. Peña, Johan Björkegren, Jesper Tegnér: Growing Bayesian network models of gene networks from seed genes. ECCB/JBI 2005: 229

José M. Peña, Johan Björkegren, Jesper Tegnér: Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. ECSQARU 2005: 136-147

Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér: Spike-timing-dependent plasticity: common themes and divergent vistas. Biological Cybernetics 87(5-6): 446-458 (2002)

Jesper Tegnér, Albert Compte, Xiao-Jing Wang: The dynamical stability of reverberatory neural circuits. Biological Cybernetics 87(5-6): 471-481 (2002)

Jesper Tegnér, Ádám Kepecs: An adaptive spike-timing-dependent plasticity rule. Neurocomputing 44-46: 189-194 (2002)

Jesper Tegnér, Ádám Kepecs: Why Neuronal Dynamics Should Control Synaptic Learning Rules. NIPS 2001: 285-292

Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner: Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing 26-27: 185-191 (1999)

Jesper Tegnér, Jeanette Hellgren Kotaleski: The synaptic NMDA component desynchronizes neural bursters. Neurocomputing 26-27: 557-563 (1999)

M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner: Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biological Cybernetics 79(1): 1-14 (1998)

Jesper Tegnér, Anders Lansner, Sten Grillner: Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. Journal of Computational Neuroscience 5(2): 121-140 (1998)