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

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.

Publications

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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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 paper - non peer reviewed
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
Scientific journal article - peer reviewed
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)
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - non peer reviewed
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
Scientific journal article - peer reviewed
2013

Music structure determines heart rate variability of singers

Björn Vickhoff, Helge Malmgren, Rickard Åström et al
Frontiers in Psychology. Vol. 4, p. Art. no. 334
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2012

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

A. Jauhiainen, Olle Nerman, G. Michailidis et al
Biostatistics. Vol. 13 (4), p. 748-761
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed