Rebecka Jörnsten

Senior Lecturer at 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 (24)
Projects (5)

Showing 24 publications

2020

DSAVE: Detection of misclassified cells in single-cell RNA-Seq data

Johan Gustafsson, Jonathan Robinson, Juan Salvador Inda Diaz et al

PLoS ONE. Vol. 15 (12 December)

Journal article

2020

Integrative discovery of treatments for high-risk neuroblastoma

Elin Almstedt, Ramy Elgendy, Neda Hekmati et al

Nature Communications. Vol. 11 (1)

Journal article

2020

Molecular natural history of breast cancer: Leveraging transcriptomics to predict breast cancer progression and aggressiveness

Daniel John Cook, Jonatan Kallus, Rebecka Jörnsten et al

Cancer Medicine. Vol. 9 (10), p. 3551-3562

Journal article

2020

Sources of variation in cell-type RNA-Seq profiles

Johan Gustafsson, Felix Held, Jonathan Robinson et al

PLoS ONE. Vol. 15 (9), p. e0239495-

Journal article

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

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

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Showing 5 research projects

2020–2025

Robustly and Optimaly Controlled Training Of neural Networks II (OCTON II)

Vincent Szolnoky Applied Mathematics and Statistics

Rebecka Jörnsten Applied Mathematics and Statistics

Balázs Adam Kulcsár Automatic Control

Centiro

2020–2020

Multi-disciplinary research for a Safe Transition to automated transport in the cities of tomorrow (MuST)

Marco Dozza Crash Analysis and Prevention

Rebecka Jörnsten Applied Mathematics and Statistics

Eric Knauss Software Engineering for Testing, Requirements, Innovation and Psychology

Erik Ström Communication and Antenna Systems

Jonas Bärgman Crash Analysis and Prevention

Christian Berger Software Engineering for Cyber Physical Systems

András Bálint Crash Analysis and Prevention

Chalmers

2019–2023

Robustly and Optimaly Controlled Training Of neural Networks I (OCTON I)

Viktor Andersson Automatic Control

Rebecka Jörnsten Applied Mathematics and Statistics

Balázs Adam Kulcsár Automatic Control

Centiro

2019–2021

Focus on glioblastoma: using patient-derived cell lines to decipher tumour expansion and evaluate new treatments

Philip Gerlee Applied Mathematics and Statistics

Rebecka Jörnsten Applied Mathematics and Statistics

Swedish Foundation for Strategic Research (SSF)

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.