Gunnar Cedersund
Gunnar Cedersund
Associate Professor, Integrative Systems Biology, Dpt of Biomedical Engineering, Linköping
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Systems biology: model based evaluation and comparison of potential explanations for given biological data
G Cedersund, J Roll
The FEBS journal 276 (4), 903-922, 2009
Insulin signaling in type 2 diabetes: experimental and modeling analyses reveal mechanisms of insulin resistance in human adipocytes
C Brännmark, E Nyman, S Fagerholm, L Bergenholm, EM Ekstrand, ...
Journal of Biological Chemistry 288 (14), 9867-9880, 2013
Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework
C Brännmark, R Palmér, ST Glad, G Cedersund, P Strålfors
Journal of Biological Chemistry 285 (26), 20171-20179, 2010
A hierarchical whole-body modeling approach elucidates the link between in vitro insulin signaling and in vivo glucose homeostasis
E Nyman, C Brännmark, R Palmér, J Brugård, FH Nyström, P Strålfors, ...
Journal of Biological Chemistry 286 (29), 26028-26041, 2011
Reduction of a biochemical model with preservation of its basic dynamic properties
S Danø, MF Madsen, H Schmidt, G Cedersund
The FEBS journal 273 (21), 4862-4877, 2006
Conclusions via unique predictions obtained despite unidentifiability–new definitions and a general method
G Cedersund
The FEBS journal 279 (18), 3513-3527, 2012
A framework for mapping, visualisation and automatic model creation of signal‐transduction networks
CF Tiger, F Krause, G Cedersund, R Palmér, E Klipp, S Hohmann, ...
Molecular systems biology 8 (1), 578, 2012
Using a 3% proton density fat fraction as a cut-off value increases sensitivity of detection of hepatic steatosis, based on results from histopathology analysis
P Nasr, MF Forsgren, S Ignatova, N Dahlström, G Cedersund, ...
Gastroenterology 153 (1), 53-55. e7, 2017
Complexity reduction of biochemical rate expressions
H Schmidt, MF Madsen, S Danø, G Cedersund
Bioinformatics 24 (6), 848-854, 2008
Neural inhibition can explain negative BOLD responses: A mechanistic modelling and fMRI study
S Sten, K Lundengård, ST Witt, G Cedersund, F Elinder, M Engström
Neuroimage 158, 219-231, 2017
Computational disease modeling–fact or fiction?
JN Tegnér, A Compte, C Auffray, G An, G Cedersund, G Clermont, ...
BMC systems biology 3 (1), 1-3, 2009
A single mechanism can explain network-wide insulin resistance in adipocytes from obese patients with type 2 diabetes
E Nyman, MR Rajan, S Fagerholm, C Brännmark, G Cedersund, ...
Journal of Biological Chemistry 289 (48), 33215-33230, 2014
Insulin signaling–mathematical modeling comes of age
E Nyman, G Cedersund, P Strålfors
Trends in Endocrinology & Metabolism 23 (3), 107-115, 2012
Model-based hypothesis testing of key mechanisms in initial phase of insulin signaling
G Cedersund, J Roll, E Ulfhielm, A Danielsson, H Tidefelt, P Strålfors
PLoS computational biology 4 (6), e1000096, 2008
Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it
M Karlsson, DLI Janzén, L Durrieu, A Colman-Lerner, MC Kjellsson, ...
BMC Systems Biology 9 (1), 1-15, 2015
Physiologically realistic and validated mathematical liver model revels hepatobiliary transfer rates for Gd-EOB-DTPA using human DCE-MRI data
MF Forsgren, OD Leinhard, N Dahlström, G Cedersund, P Lundberg
PloS one 9 (4), e95700, 2014
A method for zooming of nonlinear models of biochemical systems
M Sunnåker, G Cedersund, M Jirstrand
BMC systems biology 5 (1), 1-21, 2011
Bridging the gap between measurements and modelling: a cardiovascular functional avatar
B Casas, J Lantz, F Viola, G Cedersund, AF Bolger, CJ Carlhäll, ...
Scientific reports 7 (1), 6214, 2017
Putting the pieces together in diabetes research: towards a hierarchical model of whole-body glucose homeostasis
G Cedersund, P Strålfors
european journal of pharmaceutical sciences 36 (1), 91-104, 2009
Optimization in biology parameter estimation and the associated optimization problem
G Cedersund, O Samuelsson, G Ball, J Tegnér, D Gomez-Cabrero
Uncertainty in Biology: A Computational Modeling Approach, 177-197, 2016
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