Rebecka Jörnsten

Universitetslektor 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

Contact Details

Publications (18)
Projects (1)

Publications

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

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

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

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

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

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

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

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

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

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

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Projects

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.

Rebecka Jörnsten

Publications

LASSIM-A network inference toolbox for genome-wide mechanistic modeling

Identifying radiation-induced survivorship syndromes affecting bowel health in a cohort of gynecological cancer survivors

Late radiation-induced bowel syndromes, tobacco smoking, age at treatment and time since treatment–gynecological cancer survivors

Integrative Modeling Reveals Annexin A2-mediated Epigenetic Control of Mesenchymal Glioblastoma

Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content

Efficient exploration of multi-cancer networks by generalized covariance selection and interactive web content

DNA Methylation Changes Separate Allergic Patients from Healthy Controls and May Reflect Altered CD4⁺ T-Cell Population Structure

Erratum: Music structure determines heart rate variability of singers.

The cancer genome atlas pan-cancer analysis project

Music structure determines heart rate variability of singers

Chronological Changes in MicroRNA Expression in the Developing Human Brain

Searching for Synergies: Matrix Algebraic Approaches for Efficient Pair Screening

System-scale network modeling of cancer using EPoC

Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms

Transcriptional and metabolic data integration and modeling for identification of active pathways

A 6-gene signature identifies four molecular subgroups of neuroblastoma

Network modeling of the transcriptional effects of copy number aberrations in glioblastoma

Color preference, seasonality, spatial distribution and species composition of thrips (Thysanoptera: Thripidae) in northern highbush blueberries

Save references

Projects

Stochastics for big data and big systems - bridging local and global

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Chalmers University of Technology