Rebecka Jörnsten
Senior Lecturer at
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Rebecka Jörnsten is a Professor in mathematical statistics. Her research interests include model selection, clustering and data integration in systems biology. She is active in several collaborative projects. Together with the Nelander lab, SciLife, Uppsala University, she develops large-scale network models for human cancer. She is also working with scientists at Sahlgrenska academy, Centre for brain repair, investigating how music can be used for rehabilitation and therapy.For more information, please visit http://www.math.chalmers.se/~jornsten
Source: chalmers.se
Showing 21 publications
2019
TargetTranslator: Big data identifies non-canonical targets for high risk neuroblastoma
Elin Almstedt, Caroline Warn, Ramy Elgendy et al
Conference contribution
2019
Digital twins to personalize medicine
Bergthor Bjornsson, Carl Borrebaeck, Nils Elander et al
Genome Medicine. Vol. 12 (1)
Journal article
2018
Dose-response relationships of the sigmoid for urgency syndrome after gynecological radiotherapy
Eleftheria Alevronta, Viktor Skokic, Ulrica Wilderäng et al
Acta Oncologica. Vol. 57 (10), p. 1352-1358
Journal article
2017
LASSIM-A network inference toolbox for genome-wide mechanistic modeling
R Magnusson, G. P. Mariotti, M. Kopsen et al
PLoS Computational Biology. Vol. 13 (6), p. Article no. e1005608 -
Journal article
2017
Late radiation-induced bowel syndromes, tobacco smoking, age at treatment and time since treatment–gynecological cancer survivors
Gunnar Steineck, Fei Sjöberg, Viktor Skokic et al
Acta Oncologica. Vol. 56 (5), p. 682-691
Journal article
2017
Identifying radiation-induced survivorship syndromes affecting bowel health in a cohort of gynecological cancer survivors
Gunnar Steineck, Viktor Skokic, Fei Sjöberg et al
PLoS ONE. Vol. 12 (2), p. Article no e0171461-
Journal article
2016
Integrative Modeling Reveals Annexin A2-mediated Epigenetic Control of Mesenchymal Glioblastoma
Teresia Kling, Roberto Ferrarese, Darren Ó hAilín et al
EBioMedicine. Vol. 12, p. 72-85
Journal article
2015
Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content
Teresia Kling, P. Johansson, José Sánchez et al
Nucleic Acids Research. Vol. 43 (15), p. Article e98-
Journal article
2015
Efficient exploration of multi-cancer networks by generalized covariance selection and interactive web content
T. Kling, P. Johansson, José Sánchez et al
Cancer Research. Vol. 75 (22), p. B-2 (abstract)
Conference contribution
2014
DNA Methylation Changes Separate Allergic Patients from Healthy Controls and May Reflect Altered CD4⁺ T-Cell Population Structure
C.E. Nestor, Fredrik Barrenäs, Hui Wang et al
PLoS Genetics. Vol. 10 (1)
Journal article
2013
The cancer genome atlas pan-cancer analysis project
J. N. Weinstein, E. A. Collisson, G. B. Mills et al
Nature Genetics. Vol. 45 (10), p. 1113-1120
Journal article
2013
Erratum: Music structure determines heart rate variability of singers.
Björn Vickhoff, Helge Malmgren, Rickard Aström et al
Frontiers in Psychology. Vol. 4, p. 599-
Magazine article
2013
Music structure determines heart rate variability of singers
Björn Vickhoff, Helge Malmgren, Rickard Åström et al
Frontiers in Psychology. Vol. 4 (JUL), p. Art. no. 334-
Journal article
2013
Searching for Synergies: Matrix Algebraic Approaches for Efficient Pair Screening
Philip Gerlee, Linnéa Schmidt, Naser Monsefi et al
PLoS ONE. Vol. 8 (7), p. Art. no. e68598-
Journal article
2013
Chronological Changes in MicroRNA Expression in the Developing Human Brain
M. Moreau, S. Bruse, Rebecka Jörnsten et al
PLoS ONE. Vol. 8 (4), p. artikel nr e60480-
Journal article
2012
System-scale network modeling of cancer using EPoC
Tobias Abenius, Rebecka Jörnsten, Teresia Kling et al
Advances in Experimental Medicine and Biology. Vol. 736 (5), p. 617-643
Journal article
2012
Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms
Fredrik Barrenäs, Sreenivas Chavali, Alexessander Couto Alves et al
Genome Biology. Vol. 13 (6), p. R46-
Journal article
2012
Transcriptional and metabolic data integration and modeling for identification of active pathways
Alexandra Jauhiainen, Olle Nerman, G. Michailidis et al
Biostatistics. Vol. 13 (4), p. 748-761
Journal article
2011
A 6-gene signature identifies four molecular subgroups of neuroblastoma
Frida Abel, Daniel Dalevi, Maria Nethander et al
Cancer Cell International. Vol. 11 (9)
Journal article
2011
Network modeling of the transcriptional effects of copy number aberrations in glioblastoma
Rebecka Jörnsten, Tobias Abenius, Teresia Kling et al
Molecular Systems Biology. Vol. 7, p. 486-
Journal article
2010
Color preference, seasonality, spatial distribution and species composition of thrips (Thysanoptera: Thripidae) in northern highbush blueberries
C.R. Rodriguez-Saona, S. Polayarapu, J.D. Barry et al
Crop Protection. Vol. 29 (11), p. 1331-1340
Journal article
Showing 2 research projects
2019–2023
Robustly and Optimaly Controlled Training Of neural Networks (OCTON)
Viktor Andersson
Automatic Control
Balázs Adam Kulcsár
Automatic Control
Rebecka Jörnsten
Applied Mathematics and Statistics
Centiro
2013–2018
Stochastics for big data and big systems - bridging local and global
Holger Rootzen
Applied Mathematics and Statistics
Bernt Wennberg
Mathematical Sciences
Rebecka Jörnsten
Applied Mathematics and Statistics
Igor Rychlik
Applied Mathematics and Statistics
Sergey Zuev
Applied Mathematics and Statistics
Johan Jonasson
Analysis and Probability Theory
Johan Wästlund
Analysis and Probability Theory
Jeffrey Steif
Analysis and Probability Theory
Olle Häggström
Applied Mathematics and Statistics
Robert Berman
Algebra and geometry
Aila Särkkä
Applied Mathematics and Statistics
Knut and Alice Wallenberg Foundation
There might be more projects where Rebecka Jörnsten participates, but you have to be logged in as a Chalmers employee to see them.