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المجلة العلمية
أستاذ, العلوم البيولوجية
jesper.tegner@kaust.edu.sa Living Systems Laboratory
Zenil, Kiani and Tegner. Algorithmic Information Dynamics, Monograph, Cambridge University Press, 2019
Zenil, Kiani and Tegner. Algorithmic Cognition, Monograph, Springer, 2019
Zenil, Kiani and Tegner. Graph and Tensor Complexity, Monograph, Springer, 2019
Zenil et al. A review of graph and network complexity from an algorithmic information perspective, 20, (551), Entropy, 2018
Kular et al. DNA methylation at HLA as a mediator of the DRB1*15:01 risk haplotype and a novel protective variant in Multiple Sclerosis Nature Communications, 2018
Zenil et al. A decomposition method for global evaluation of Shannon entropy and local estimation of algorithmic complexity 20, (605) Entropy, 2018
Kotelnikova et al. Dynamics and heterogeneity of brain damage in multiple sclerosis, PLoS computational biology 13 (10), e1005757, 2017
H Zenil, NA Kiani, J Tegnér, Low-algorithmic-complexity entropy-deceiving graphs, Physical Review E 96 (1), 012308, 2017
Gomez-Cabrero, et al. On the emergence of short advanced courses in Systems Medicine and Biology: recent experiences and recommended guidelines. Cell Systems September, 2017
David Gomez-Cabrero, and Jesper Tegnér. Iterative Systems Biology for Medicine – time for advancing from networks signature to mechanistic equations Current Opinion in Systems Biology May, 2017
Manuel Zeitelhofera, et al. Functional genomics analysis of vitamin D effects on CD4+ T-cells in vivo in experimental autoimmune encephalomyelitis PNAS February, 2017
Hill, S. et al. Empirical assessment of causal network learning through a community-based effort Nature Methods, 2016.
Rodríguez-Cortez, et al. Monozygotic twins discordant for common variable immunodeficiency reveal impaired DNA demethylation during naïve-to-memory B-cell transition Nature Communications 6/17, 2015.
Yang, et al. VEGF-B promotes cancer metastasis through a VEGF-A–independent mechanism and serves as a marker of poor prognosis for cancer patients PNAS 5/19, 2015.
Lindholm, et al. An integrative analysis reveals coordinated reprogramming of the epigenome in human skeletal muscle after training Epigenetics.12/2, 1557-69. 2014
Gomez-Cabrero et al. Data integration in the era of omics: current and future challenges. BMC Systems Biology, vol 8 (Supp 2):I1), 2014
Marabita, et al. An evaluation of analysis pipelines for DNA methylation profiling using the Illumina HumanMethylation450 BeadChip platform Volume 8, Issue 3 Epigenetics March, 8(3), 333–46., 2013
Teschendorff et al. S A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinum 450k DNA methylation data Bioinformatics. Jan 15;29(2):189-96, 2013
Ravasi et al. An atlas of combinatorial transcriptional regulation in mouse and man, Cell. Mar 5;140(5):744-52. 2010
Suzuki et al. A complex transcriptional network controls growth arrest and differentiation in a human myeloid leukemia cell line, Nature Genetics May;41(5):553-62. Epub 2009 Apr 19, 2009
Pena, J., Nilsson, R, Björkegren, J. and Tegnér, J. An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. Journal of Machine Learning Research 2009.
Fredrik Edin, et al. Mechanism for Top-down Control of Working Memory Capacity. PNAS Apr 21;106(16):6802-7. Epub Apr 1. 2009
Peña, J. M., Nilsson, R., Björkegren, J. and Tegnér, J. Towards scalable and Data Efficient Learning of Markov Boundaries, International Journal of Approximate Reasoning, Volume 45, Issue 2, Pages 211-232 2007
Tegnér, J. and Björkegren, J. Perturbations to uncover gene networks. Trends in Genetics, Jan;23(1):34-41, 2007
Nilsson, R., Peña, J. M., Björkegren J., and J. Tegnér, Consistent feature selection for pattern recognition in polynomial time, Journal of Machine Learning Research, 8(March):589-612, 2007
Carninci, T. et al. The transcriptional landscape of the mammalian genome, Science. Sep 2;309 (5740):1559-63. 2005
Tegnér, J., et al. Reverse engineering gene networks -- integrating genetic perturbations with dynamical modeling. PNAS. 100,5944-5949, 2003.
