Center for Computational and Theoretical Biology

Matthäus, Franziska (J. Prof.)

Franziska Matthäus

Group Leader

 Group Leader of the 

New workgroup website: 



Research Text here.


2017[ to top ]
  • TCCA: An R package for the identification of differentially expressed genes in time course microarray data. Albrecht, M.; Stichel, D.; M{\"u}ller, B.F.; Merkle, R.; Sticht, C.; Gretz, N.; Klingm{\"u}ller, U.; Breuhahn, K.; Matth{\"a}us, F. in BMC Bioinformatics (2017). 18 Art. no. 33.
  • Modeling cellular systems Graw, F.; Matth{\"a}us, F.; Pahle, J. in Contributions in Mathematical and Computational Sciences 11 (2017). Springer.
  • An individual-based model for the collective cancer cell migration explains speed dynamics and phenotype variability in response to growth factors. Stichel, D.; Middleton, A.M.; M{\"u}ller, B.F.; Depner, S.; Klingm{\"u}ller, U.; Breuhahn, K.; Matth{\"a}us, F. in NPJ Systems Biology and Applications (2017). 3 Art. no. 5.
2015[ to top ]
  • Concomitant expression of far upstream element (FUSE) binding protein (FBP) interacting repressor (FIR) and its splice variants induce migration and invasion of non-small cell lung cancer (NSCLC) cells. M{\"u}ller, B.; Bovet, M.; Yin, Y.; Stichel, D.; Malz, M.; Middleton, A.; Ehemann, V.; Schmitt, J.; Muley, T.; Meister, M.; Herpel, E.; Singer, S.; Warth, A.; Schirmacher, P.; Drasdo, D.; Matth{\"a}us, F.; Breuhahn, K. in J. Pathol. (2015). 237 390–401.
2014[ to top ]
  • Gene expression in superior temporal cortex of schizophrenia patients. Sellmann, C.; Pilda\’in, L. Villar\’in; Schmitt, A.; Leonardi-Essmann, F.; Durrenberger, P.; Spanagel, R.; Arzberger, T.; Kretzschmar, H.; Zink, M.; Gruber, O.; Herrera-Marschitz, M.; Reynolds, R.; Falkai, P.; Gebicke-Haerter, P.J.; Matth{\"a}us, F. in European Archives of Psychiatry and Clinical Neuroscience (2014). 264(4) 297–309.
  • Effects of normal aging and SCN1A risk-gene expression on brain metabolites: evidence for an association between SCN1A and myo-inositol. Tunc-Skarka, N.; Meier, S.; Demirakca, T.; Sack, M.; Weber-Fahr, W.; Brusniak, W.; Wolf, I.; Matth{\"a}us, F.; Schulze, T.G.; Diener, C.; Ende, G. in NMR in Biomedicine (2014). 27(2) 228–234.
  • Does body shaping influence brain shape? Habitual physical activity is linked to brain morphology independent of age. Demirakca, T.; Brusniak, W.; Tunc-Skarka, N.; Wolf, I.; Meier, S.; Matth{\"a}us, F.; Schulze, T.G.; Ende, G.; Diener, C. in World Journal of Biological Psychiatry (2014). 15(5) 387–396.
  • A hybrid model for E. coli chemotaxis: from signaling pathway to pattern formation. Matth\"aus, F. in Managing complexity, reducing perplexity. Modeling biological systems. Eds. G. Ajmone-Marsan and M. Delitala (2014).
2013[ to top ]
  • Stathmin regulates keratinocyte proliferation and migration during cutaneous regeneration. Schmitt, S.; Safferling, K.; Westphal, K.; Hrabowski, M.; M{\"u}ller, U.; Angel, P.; Wiechert, L.; Ehemann, V.; M{\"u}ller, B.; Holland-Cunz, S.; Stichel, D.; Harder, N.; Rohr, K.; Germann, G.; Matth{\"a}us, F.; Schirmacher, P.; Grabe, N.; Breuhahn, K. in PLoS One (2013). 8(9) e75075.
  • New measurement criteria for studying alcohol drinking and relapse in rodents. Pilda\’in, L. Villar\’in; Vengeliene, V.; Matth{\"a}us, F. in In Silico Pharmacology (2013). 1 Art. no. 13.
  • Contextual social cognition impairments in schizophrenia and bipolar disorder. Baez, S.; Herrera, E.; Pilda\’in, L. Villar’\in; Theil, D.; Gonzalez-Gadea, M.L.; Gomez, P.; Mosquera, M.; Huepe, D.; Strejilevich, S.; Vigliecca, N.S.; Matthäus, F.; Decety, J.; Manes, F.; Ibanez, A. in PLoS One (2013). 8(3) e57664.
  • Circadian rhythms investigated on the cellular and molecular levels. Gebicke-Haerter, P. J.; Pilda\’in, L. Villar\’in; Matth{\"a}us, F.; Schmitt, A.; Falkai, P. in Pharmacopsychiatry (2013). 46(1) S22-S29.
  • A systems medicine research approach for studying alcohol addiction. Spanagel, R.; Durstewitz, D.; Hansson, A.; Heinz, A.; Kiefer, F.; K{\"o}hr, G.; Matth{\"a}us, F.; N{\"o}then, M.M.; Noori, H.R.; Obermayer, K.; Rietschel, M.; Schloss, P.; Scholz, H.; Schumann, G.; Smolka, M.; Sommer, W.; Vengeliene, V.; Walter, H.; Wurst, W.; Zimmermann, U.S.; Stringer, S.; Smits, Y.; Derks, E.M. in Addiction Biology (2013). 18(6) 883–896.
2012[ to top ]
  • SCN1A alters brain structure and modulates age-dependent alterations in cortical activation during a working memory task. Meier, S.; Demirakca, T.; Brusniak, W.; Wolf, I.; Liebsch, K.; Tunc-Skarka, N.; Nieratschker, V.; Witt, S.; Matth{\"a}us, F.; Ende, G.; Flor, H.; Rietschel, M.; Diener, C.; Schulze, T.G. in Biological Psychiatry (2012). 72(8) 677–683.
  • Effects of age on the structure of functional connectivity networks during episodic and working memory demand. Matth\"aus, F.; Schmidt, J.-P.; Banerjee, A.; Schulze, T.G.; Demirakca, T.; Diener, C. in Brain Connectivity (2012). 2(3) DOI: 10.1089/brain.2012.0077.
  • Advances in Systems Biology, Advances in Experimental Medicine and Biology 736. Curk, T.; Matth\"aus, F.; Brill-Karniely, Y.; Dobnikar, J. I. Goryanin, A. Goryachev (reds.) (2012).
2011[ to top ]
  • Structural analysis of functional connectivity related to memory reveals network changes in memory function over the life span. Matth{\"a}us, F.; Schmidt, J.-P.; Demirakca, T.; Diener, C. in BMC Neurosci. (2011). (Vol. 12 (Suppl 1) P71.
  • On the origin and characteristics of noise-induced L\’evy walks of E. coli. Matth\"aus, F.; Mommer, M.S.; Curk, T.; Dobnikar, J. in PLOS One (2011). 6(4) e18623.
2010[ to top ]
  • Systems Biology and Psychiatry. Matth\"aus, F.; Smith, V. A.; Gebicke-Haerter, P. J. F. Tretter, P. J. Gebicke-Haerter, G. Winterer, E. Mendoza (reds.) (2010).
  • An integrated genome research network for studying the genetics of alcohol addiction. Spanagel, R.; Bartsch, D.; Brors, B.; Dahmen, N.; Deussing, J.; Eils, R.; Ende, G.; Gallinat, J.; Gebicke-Haerter, P.; Heinz, A.; Kiefer, F.; J{\"a}ger, W.; Mann, K.; Matth{\"a}us, F.; N{\"o}then, M.; Rietschel, M.; Sartorius, A.; Sch{\"u}tz, G.; Sommer, W.H.; Sprengel, R.; Walter, H.; Wichmann, E.; Wienker, T.; Wurst, W.; Zimmer, A. in Addiction Biology (2010). 15 369–379.
2009[ to top ]
  • The spread of prion diseases in the brain - models of reaction and transport on networks. Matth\"aus, F. in J. Biol. Sys. (2009). 17(4) 623–641.
  • Interactive molecular networks obtained by computer-aided conversion of microarray data from brains of alcohol-drinking rats. Matth\"aus, F.; Smith, V. A.; Fogtman, A.; Sommer, W. H.; Leonardi-Essmann, F.; Lourdusamy, A.; Reimers, M. A.; Spanagel, R.; Gebicke-Haerter, P. J. in Pharmacopsychiatry (2009). 42 S118-S128.
  • E. coli superdiffusion and chemotaxis - search strategy, precision and motility. Matth\"aus, F.; Jagodi\’c, M.; Dobnikar, J. in Biophys. J. (2009). 97(4) 946–957.
  • A comparison of modeling approaches for the spread of prion diseases in the brain. Matth{\"a}us, F. in Studies in Computational Intelligence (2009). 180 109–117.
2008[ to top ]
  • Biosynthetic potentials of metabolites and their hierarchical organization. Matth\"aus, F.; Salazar, C.; Ebenh\"oh, O. in PLOS Comp. Biol. (2008). 4(4) rt. no. e1000049.
2006[ to top ]
  • Diffusion versus network models as descriptions for the spread of prion diseases in the brain. Matth\"aus, F. in J. Theo. Biol. (2006). 240 104–113.
  • Compound clustering and consensus scopes of metabolic networks. Matth{\"a}us, F.; Salazar, C.; Ebenh{\"o}h, O. in InterJournal Complex Systems (2006). Art. no. 1674.
2005[ to top ]
  • Hierarchical modeling of prion spread in brain tissue. Technical Report (PhD dissertation), Matth\"aus, F. PhD thesis, Polish Academy of Science. (2005).
2004[ to top ]
  • The {SI}-model for prion infection on networks. Matth\"aus, F. in Proceedings of the Tenth National Conference on Applications of Mathematics in Biology and Medicine, Święty Krzyż (2004).
  • Mathematical models of prion spread in the brain and applications to the mouse visual system. Matth\"aus, F. in Mathematical Approach to Nonlinear Phenomena; Modelling, Analysis and Simulations (2004).