Rebecka Jörnsten

Full Professor at Applied Mathematics and Statistics

Rebecka Jörnsten is a Professor in applied statistics and biostatistics. Her research interests include model selection, clustering, data integration in systems biology and the intersection of machine learning and statistics. She is active in several collaborative projects. Together with the Nelander lab, SciLife, Uppsala University, she develops large-scale network models for human cancer.

For more information, please visit https://rjornsten.github.io/

Source: chalmers.se
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Showing 39 publications

2024

Controlled Descent Training

Viktor Andersson, Balázs Varga, Vincent Szolnoky et al
International Journal of Robust and Nonlinear Control. Vol. 34
Journal article
2024

Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers

Ida Larsson, Felix Held, Gergana Popova et al
Nature Communications. Vol. 15 (1)
Journal article
2023

Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data

Johan Gustafsson, Petre Mihail Anton, Fariba Roshanzamir et al
Proceedings of the National Academy of Sciences of the United States of America. Vol. 120 (6)
Journal article
2023

Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net

Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten
Journal of Machine Learning Research. Vol. 24, p. 1-35
Journal article
2023

Controlled Decent Training

Viktor Andersson, Balázs Varga, Vincent Szolnoky et al
Preprint
2023

GLIOBLASTOMA GROWTH IS SHAPED BY INVASION ROUTE-SPECIFIC FUNCTIONAL SIGNATURES

Cecilia Krona, Emil Rosen, Soumi Kundu et al
Neuro-Oncology. Vol. 25 (Supplement: 5, MODL-16)
Other conference contribution
2023

NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures

David Martinez-Enguita, Sanjiv K. Dwivedi, Rebecka Jörnsten et al
Briefings in Bioinformatics. Vol. 24 (5)
Journal article
2022

Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data

Johan Gustafsson, Jonathan Robinson, Fariba Roshanzamir et al
Preprint
2022

SYSTEMATIC CHARACTERIZATION OF GLIOBLASTOMA GROWTH PATTERNS REVEALS INVASION ROUTE-SPECIFIC FUNCTIONAL SIGNATURES AND DRUG VULNERABILITIES

Cecilia Krona, Emil Rosen, Soumi Kundu et al
Neuro-Oncology. Vol. 24, p. 292-293
Other conference contribution
2022

Flexible, non-parametric modeling using regularized neural networks

Oskar Allerbo, Rebecka Jörnsten
Computational Statistics. Vol. 37 (4), p. 2029-2047
Journal article
2022

On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

Vincent Szolnoky, Viktor Andersson, Balázs Adam Kulcsár et al
Advances in Neural Information Processing Systems. Vol. 35
Paper in proceeding
2022

ESTIMATING THE DIFFERENTIATION POTENTIAL AND PLASTICITY OF GLIOBLASTOMA CELLS USING STATISTICAL MECHANICS

Adam Lang, Ida Larsson, Rebecka Jörnsten et al
Neuro-Oncology. Vol. 24, p. 119-119
Other conference contribution
2021

Non-linear, sparse dimensionality reduction via path lasso penalized autoencoders

Oskar Allerbo, Rebecka Jörnsten
Journal of Machine Learning Research. Vol. 22
Journal article
2021

Modeling glioblastoma heterogeneity as a dynamic network of cell states

Ida Larsson, Erika Dalmo, Ramy Elgendy et al
Molecular Systems Biology. Vol. 17 (9)
Journal article
2021

Dose-response relationships of intestinal organs and excessive mucus discharge after gynaecological radiotherapy

Eleftheria Alevronta, Viktor Skokic, Gail Dunberger et al
PLoS ONE. Vol. 16 (4 April)
Journal article
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

Digital twins to personalize medicine

Bergthor Bjornsson, Carl Borrebaeck, Nils Elander et al
Genome Medicine. Vol. 12 (1)
Review 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
Other conference contribution
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)
Other 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

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

The cancer genome atlas pan-cancer analysis project

John N. Weinstein, Eric A. Collisson, Gordon B. Mills et al
Nature Genetics. Vol. 45 (10), p. 1113-1120
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
2013

Erratum: Music structure determines heart rate variability of singers.

Björn Vickhoff, Helge Malmgren, Rickard Aström et al
Frontiers in Psychology. Vol. 4 (SEP), p. 599-
Other text in scientific journal
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
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
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 6 research projects

2022–2025

FEAT: Fleet management for efficient and sustainable electric micromobility systems

Jiaming Wu Transportgruppen
Balázs Adam Kulcsár Automatic Control
Rebecka Jörnsten Applied Mathematics and Statistics
Sunney Fotedar Applied Mathematics and Statistics
Swedish Energy Agency

1 publication exists
2020–2025

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

Vincent Szolnoky Applied Mathematics and Statistics
Balázs Adam Kulcsár Automatic Control
Rebecka Jörnsten Applied Mathematics and Statistics
Centiro

3 publications exist
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, Antennas and Optical Networks
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 Optimally Controlled Training Of neural Networks I (OCTON I)

Viktor Andersson Automatic Control
Rebecka Jörnsten Applied Mathematics and Statistics
Balázs Adam Kulcsár Automatic Control
Centiro

4 publications exist
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)

2 publications exist
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

8 publications exist
There might be more projects where Rebecka Jörnsten participates, but you have to be logged in as a Chalmers employee to see them.