Andrei Kramer-Miehe

Publikationer
Populärvetenskap och samverkan

Artiklar

Article: NEUROINFORMATICS. 2022;20(1):241-259
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience
Santos JPG; Pajo K; Trpevski D; Stepaniuk A; Eriksson O; Nair AG; Keller D; Kotaleski JH; Kramer A
Journal article: AICHE JOURNAL. 2020;66(4)
Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics
Eisenkolb I; Jensch A; Eisenkolb K; Kramer A; Buchholz PCF; Pleiss J; Spiess A; Radde NE
Journal article: BIOINFORMATICS. 2019;35(2):284-292
Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway models
Eriksson O; Jauhiainen A; Sasane SM; Kramer A; Nair AG; Sartorius C; Kotaleski JH
Journal article: BIOINFORMATICS. 2014;30(20):2991-2992
MCMC_CLIB-an advanced MCMC sampling package for ODE models
Kramer A; Stathopoulos V; Girolami M; Radde N
Journal article: BMC BIOINFORMATICS. 2014;15:253
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems
Kramer A; Calderhead B; Radde N
Journal article: BMC BIOINFORMATICS. 2013;14:S2
iVUN: interactive Visualization of Uncertain biochemical reaction Networks
Vehlow C; Hasenauer J; Kramer A; Raue A; Hug S; Timmer J; Radde N; Theis FJ; Weiskopf D
Journal article: BIOINFORMATICS. 2012;28(18):i535-i541
Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study
Weber P; Kramer A; Dingler C; Radde N
Journal article: PROCEDIA COMPUTER SCIENCE. 2010;1(1):1645-1653
Towards experimental design using a Bayesian framework for parameter identification in dynamic intracellular network models
Kramer A; Radde N

Alla övriga publikationer

Preprint: 2023
UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models
Kramer A; Milinanni F; Kotaleski JH; Nyquist P; Jauhiainen A; Eriksson O
Review: ELIFE. 2022;11:e69013
Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows
Eriksson O; Bhalla US; Blackwell KT; Crook SM; Keller D; Kramer A; Linne M-L; Saudargiene A; Wade RC; Kotaleski JH
Preprint: BIORXIV. 2020
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience
Santos JPG; Pajo K; Trpevski D; Stepaniuk A; Eriksson O; Nair AG; Keller D; Kotaleski JH; Kramer A
Conference publication: 2012;:91-98
Uncertainty-Aware Visual Analysis of Biochemical Reaction Networks
Vehlow C; Hasenauer J; Kramer A; Heinrich J; Radde N; Allgöwer F; Weiskopf D
Conference publication: AIP CONFERENCE PROCEEDINGS. 2010;1303(1):68-73
A Statistical Framework for Noise Separation in Dynamic Models of Intracellular Networks
Kramer A; Radde N; Dubois DM
Conference publication: 2010;:493-498
Computation of the posterior entropy in a Bayesian framework for parameter estimation in biological networks
Kramer A; Hasenauer J; Allgöwer F; Radde N

Artiklar

Alla övriga publikationer

Nyheter från KI

Kalenderhändelser från KI