Publications

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  • Leander Dony, Fei He, M. STUMPF. Parametric and non-parametric gradient matching for network inference: a comparison.. BMC bioinformatics, 20, 52, 2019. doi: 10.1186/s12859-018-2590-7.

  • Rowan D Brackston, Eszter Lakatos, M. STUMPF. Transition state characteristics during cell differentiation.. PLoS computational biology, 14, e1006405, 2018. doi: 10.1371/journal.pcbi.1006405.

  • T Jetka, K Nienałtowski, S Filippi, M. STUMPF, M Komorowski. An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.. Nature communications, 9, 4591, 2018. doi: 10.1038/s41467-018-07085-1.

  • Ann C Babtie, M. STUMPF. How to deal with parameters for whole-cell modelling.. Journal of the Royal Society Interface, 14, 20170237, 2017. doi: 10.1098/rsif.2017.0237.

  • Eszter Lakatos, M. STUMPF. Control mechanisms for stochastic biochemical systems via computation of reachable sets.. Royal Society open science, 4, 160790, 2017. doi: 10.1098/rsos.160790.

  • NM Rashidi, N Scherf, A Krinner, I Roeder, C Lo Celso, M. STUMPF, Adam L MacLean, Maia A Smith, Juliane Liepe, Aaron Sim, Reema Khorshed. Single Cell Phenotyping Reveals Heterogeneity Among Hematopoietic Stem Cells Following Infection.. Stem cells (Dayton, Ohio), 35, 2292-2304, 2017. doi: 10.1002/stem.2692.

  • M. STUMPF. Quantitative time-resolved analysis reveals intricate, differential regulation of standard- and immuno-proteasomes. eLife, 4, 2015. doi: 10.7554/eLife.07545.001.

  • Juliane Liepe, Hermann-Georg Holzhütter, Elena Bellavista, Peter M Kloetzel, M. STUMPF, Michele Mishto. Quantitative time-resolved analysis reveals intricate, differential regulation of standard- and immuno-proteasomes.. eLife, 4, e07545, 2015. doi: 10.7554/eLife.07545.