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Welcome to the world of Jesper Tegnér
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Value statement: Welcome to my world. I am designed as such because I believe in exploring the boundaries of what we are. I´m interested in developing and applying operational mathematical strategies which have relevance to the fundamental principles of living matter, not yet captured by theoretical physics. This perspective is transformed into an active research program targeting cardiovascular systems medicine, network biology, computational biology and entrepreneurship within the BioIT sector. Popular description in swedish here.
About me: I´m multilingual Chaired Professor In Computational Biology since February 2002, having three different undergraduate degrees (Mathematics, Medicine, Philosophy), a parallell 2 year track of PhD courses in Pure and Applied Mathematics, in addition to another PhD/MD in Computational and Experimental Medicine at Karolinska Institutet, 1997. I was an Alfred P Sloan and Wenner-Gren 5 year Fellow during my research in Boston, USA (1998-2001).
Community building: I serve as an associate editor for the journals BMC Systems Biology, BMC Research Notes and on the Editorial Board for IET Systems Biology. I have been active in arranging a number of international conferences and workshops since returning from USA. Upcoming events include serving in the program committe for International Conference on Systems Biology 2008 and organizing an ESF sponsored exploratory workshop om modeling complex diseases (Barcelona, Spain, September 2008). For the local community the Tegnér-Björkegren laboratory has recently (2008) launched "Seminars in Systems Medicine" and a systems medicine resource page (check our labpage)
Teaching: I also teach and develop courses on systems and computational biology with a medical focus. The most recent one (2006) was the highly popular national PhD course on Systems Biology - from model organisms to complex diseases. To stimulate the public interest for Mathematics, Natural Sciences and Medicine I give popular science lectures.
Grants: We gratefully acknowledge the generous external support that the Tegnér-Björkegren laboratory (external CompMed labpage, research description) has attracted since 2002. This includes national funding agencies such as VR (3 junior research positions, several project grants), SSF, Vinnova (one senior research position, several project grants), Wenner-Gren Foundation, Heart-Lung Foundation, KK-stiftelsen (FMB, 3 PhD positions), ALF (Stockholm County), international collaborative grants Japan-Sweden (Vinnova), EU (PROCARDIS IP, FP6 and VPH NoE FP7), NSF (USA-Sweden), Australian Research Council (Australia - Sweden-Japan), European Science Foundation (Spain-Sweden) and industrial support from biotech/pharmaceutical companies Astra-Zeneca, Pfizer, Affymetrix, VinnNU, and Clinical Gene Networks.
Publications: The CompMed Team has published 64 papers (check our labpage). Below (Left) you find a list of 10 selected Mathematical/Computational papers since 2005 published in computational/theory journals. To the Right 10 selected Medical publications are listed. These are published in more traditional biomedical journals where the notion of impact is more relevant compared to computational journals. Average impact for the ten biomedical papers is 11.3. |
10 Selected Mathematical/Computational Papers since 2005 |
10 Selected Medical Papers since 2002 |
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[Paper - 59] Deconstructing the core dynamics from complex regulatory biological circuit IET Systems Biology [To appear]
[Paper - 52] Electrotonic Signals Along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus., PLoS Computational Biology [To appear]
[Paper - 49] Consistent feature selection for pattern recognition in polynomial time, Journal of Machine Learning Research, 8 (March): 589-612, 2007 [pdf]
[Paper - 48] Detecting Multivariate Differentially Expressed Genes, BMC Bioinformatics, 8 :150 doi 10.1186/1471-2105-8-150 2007 [pdf] [Supp1] [Supp2] [Supp3]
[Paper - 40] Towards scalable and Data Efficient Learning of Markov Boundaries, International Journal of Approximate Reasoning, 45(2), 211-232, 2007. [pdf here]
[Paper - 37] Evaluating Feature Selection for SVMs in High Dimensions. Lecture Notes in Computer Science,719-726, Springer, 2006 [pdf here]
[Paper - 31] Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations, BMC Bioinformatics 7 :51 doi 10.1186/1471-2105-7-51 2006 7:51. [pdf here]
[Paper - 30] A flexible implementation for support vector machines. The Mathematica Journal, Vol 10, 114-127, 2005 [pdf here]
[Paper - 29] Scalable, Efficient and Correct Learning of Markov Boundaries under the Faithfulness Assumption. Lecture Notes in Computer Science, Symbolic and Quantitative Approaches to Reasoning with Uncertainty 3571, 136-147, 2005 [pdf here]
[Paper - 24] Growing Bayesian Network Models of Gene Networks from Seed Genes. Bioinformatics, 21, ii224-ii229, 2005 [pdf ]
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[Paper - 61] Transcriptional Profiling Uncovers a Network of
Cholesterol-Responsive Atherosclerosis Target Genes PLoS Genetics [To appear]
[Paper - 56] Human C-reactive protein slows atherosclerosis development in a mouse model with human-like hypercholesterolemia. Proceedings of National Academy of Science Aug, 2007 [pdf] [Supp1] [Supp2]
[Paper - 43] Perturbations to uncover gene networks. Trends in Genetics,Jan;23(1):34-41, 2007 [pdf]
[Paper - 42] Stronger synaptic connectivity as a mechanism behind development of working memory-related brain activity during childhood. Journal of Cognitive Neuroscience, May;19(5):750-60, 2007 [pdf here]
[Paper - 39] Development of Brain Activity Related to Working Memory and Distraction. Cerebral Cortex May; 17: 1047-1054, 2007 [pdf here]
[Paper - 28] The transcriptional landscape of the mammalian genome, Science. Sep 2;309 (5740):1559-63, 2005 [pdf]
[Paper - 16] Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory. Proceedings of National Academy of Science101:1368-1373, 2004 [pdf]
[Paper -14] Systembiology is taking off. Genome Research. Nov;13(11):2377-80. 2003 [pdf here]
[Paper - 9] Reverse engineering gene networks -- integrating genetic perturbations with dynamical modeling. Proceedings of National Academy of Science. 100, 5944-5949, 2003 [pdf]
[Paper - 6] Reverse engineering gene networks - singular value decomposition and robust regression. Proceedings of National Academy of Science, 99: 6163-6168. 2002 [pdf]
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