Staff
Source: Bielefeld University
Prof. Dr. Christiane Fuchs
Research Group Leader
Phone: +49 89 3187-3385
E-mail
Building/Room: 58a / 111
I am a professor of data science at the Faculty of Business Administration and Economics at Bielefeld University. As part of a cooperation with the Helmholtz Zentrum München, I also lead the Biostatistics group at the Institute of Computational Biology.
Please visit the Data Science group's web page for information about my activities in Bielefeld.
Research Interests
- Stochastic modelling and statistical inference of dynamic processes in genetics and molecular biology, in particular diffusion processes / stochastic differential equations
- Uncertainty quantification
- Analysis of single-cell regulatory heterogeneities (StochasticProfiling Project; see also Research Features article)
- Integration of genomic, transcriptomic and clinical/environmental data
- Computer-intensive methods and Bayesian statistics
Research projects and funding of the Biostatistics group are described on the group page.
Core Facility Statistical Consulting
I am head of the Core Facility Statistical Consulting which offers statistical support for all members of Helmholtz Zentrum München.
BookC. Fuchs (2013): Inference for Diffusion Processes with Applications in Life Sciences. Springer, Heidelberg. Image source: Springer |  |
Articles
My ORCID: 0000-0003-3565-8315
* shared first/last authorship
- M. Becker, H. Noll-Puchta, D. Amend, F. Nolte, C. Fuchs, I. Jeremias, C. Braun (2020): CLUE: A bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries. Nucleic Acids Research, accepted.
- L. Amrhein, C. Fuchs (2020): Stochastic profiling of mRNA counts using HMC. Proceedings of the 35th International Workshop on Statistical Modelling (IWSM) 2020, accepted.
- H. Busen, C. Fuchs (2020): Modelling the impact of spatial proximity on scientific collaboration networks. Proceedings of the 35th International Workshop on Statistical Modelling (IWSM) 2020, accepted.
- L. Amrhein, C. Fuchs (2020): stochprofML: Stochastic profiling using maximum likelihood estimation in R. arXiv:2004.08809.
- K. Radon, E. Saathoff, M. Pritsch, J. Guggenbuehl Noller, I. Kroidl, L. Olbrich, V. Thiel, M. Diefenbach, F. Riess, F. Forster, F. Theis, A. Wieser, M. Hoelscher, KoCo19 collaboration group (2020): Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19). medRxiv, doi.org/10.1101/2020.04.28.20082743.
- E.H. Hibbah, H. El Maroufy, C. Fuchs, T. Ziad (2019): An MCMC computational approach for a continuous time state-dependent regime switching diffusion process. Journal of Applied Statistics, 2019, 1-21.
- L. Amrhein, K. Harsha, C. Fuchs (2019): A mechanistic model for the negative binomial distribution of single-cell mRNA counts. bioRxiv 657619.
- S. Tirier, J. Park, F. Preußer, L. Amrhein, Z. Gu, S. Steiger, J.-P. Mallm, M. Waschow, B. Eismann, M. Gut, I.G. Gut, K. Rippe, M. Schlesner, F. Theis, C. Fuchs, C. Ball, H. Glimm, R. Eils, C. Conrad (2019): Pheno-seq - linking visual features and gene expression in 3D cell culture systems. Scientific Reports, 9:12367.
- N. Krautenbacher, N. Flach, A. Böck, K. Laubhahn, M. Laimighofer, F. Theis, D. Ankerst, C. Fuchs*, B. Schaub* (2019): A strategy for high-dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological and environmental factors. Allergy 74(7), pp. 1364-1373.
- M. El Omari, H. El Maroufy, C. Fuchs (2019): Nonparametric estimation for fractional diffusion processes with random effects. Statistics 53(4), pp. 753-769.
- S. Neschen*, M. Wu*, C. Fuchs*, I. Kondofersky, F. Theis, M. Hrabě de Angelis, H.-U. Häring, T. Sartorius (2018): Impact of brain fatty acid signaling on peripheral insulin action in mice. Experimental and Clinical Endocrinology & Diabetes, 126, 20-29, DOI: 10.1055/a-0735-9533.
- K. Wille, P. Sadjadian, T. Becker, V. Kolatzki, A. Horstmann, C. Fuchs, M. Griesshammer (2018): High risk of recurrent venous thromboembolism in BCR-ABL-negative myeloproliferative neoplasms after termination of anticoagulation. Annals of Hematology, 98, 93-100.
- S. Pieschner, C. Fuchs (2018): Bayesian inference for diffusion processes: Using higher-order approximations for transition densities. arXiv 1806.02429. R code
- S. Dirmeier, C. Fuchs, N. Mueller, F. Theis (2017): netReg: network-regularized linear models for biological association studies. Bioinformatics, 34, 896-898, DOI: 10.1093/bioinformatics/btx677.
- N. Krautenbacher, F. Theis, C. Fuchs (2017): Correcting classifiers for sample selection bias in two-phase case-control studies. Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 7847531, doi:10.1155/2017/7847531. R package sambia
- F. Seyednasrollah, D. Koestler, T. Wang, S. Piccolo, R. Vega, R. Greiner, C. Fuchs, E. Gofer, L. Kumar, R. Wolfinger, K. Kanigel Winner, C. Bare, E. Neto, T. Yu, L. Shen, K. Abdallah, Kald, T. Norman, G. Stolovitzky, H. Soule, C. Sweeney, C. Ryan, H. Scher, O. Sartor, L. Elo, F. Zhou, J. Guinney, J. Costello, Prostate Cancer DREAM Challenge Community (2017): A DREAM challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer. Journal of Clinical Oncology Clinical Cancer Informatics, 1, 1-15.
- J. Guinney, T. Wang, T. Laajala, K. Winner, C. Bare, E. Neto, S. Khan, G. Peddinti, A. Airola, T. Pahikkala, T. Mirtti, T. Yu, B. Bot, L. Shen, K. Abdallah, T. Norman, S. Friend, G. Stolovitzky, H. Soule, C. Sweeney, C. Ryan, H. Scher, O. Sartor, Y. Xie, T. Aittokallio, F. Zhou, J. Costello and the Prostate Cancer Challenge DREAM Community (2017): Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. The Lancet Oncology 18, 132-142. DOI: 10.1016/S1470-2045(16)30560-5.
- I. Kondofersky, M. Laimighofer, C. Kurz, N. Krautenbacher, J. Söllner, P. Dargatz, H. Scherb, D. Ankerst, C. Fuchs (2016): Three general concepts to improve risk prediction: good data, wisdom of the crowd, recalibration [version 1; referees: awaiting peer review]. F1000Research 5(2671). DOI: 10.12688/f1000research.8680.1.
- A. Köferle, K. Worf, C. Breunig, V. Baumann, J. Herrero, M. Wiesbeck, L. Hutter, M. Götz, C. Fuchs, S. Beck, S. Stricker (2016): CORALINA: A universal method for the generation of gRNA libraries for CRISPR-based screening. BMC Genomics 17(917). DOI: 10.1186/s12864-016-3268-z.
- I. Kondofersky, F.J. Theis, C. Fuchs (2016): Inferring catalysis in biological networks. IET Systems Biology 10, 210-218.
- S. Kaufmann, C. Fuchs, M. Gonik, E. Khrameeva, A. Mironov, D. Frishman (2015): Inter-chromosomal contact networks provide insights into mammalian chromatin organization. PLoS ONE 10:e0126125.
- D. Sadic, K. Schmidt, I. Kondofersky, J. Ellwart, C. Fuchs, F. Theis, G. Schotta (2015): Atrx promotes heterochromatin formation at retrotransposons. EMBO Reports 16(7), pp. 836-850.
- I. Kondofersky, C. Fuchs, F.J. Theis (2015): Identifying latent dynamic components in biological systems. IET Systems Biology 9, pp. 193-203.
- K. Illner, J. Miettinen, C. Fuchs, S. Taskinen, K. Nordhausen, H. Oja, F.J. Theis (2015): Model selection using limiting distributions of second-order blind source separation algorithms. Signal Processing 113, pp. 95-103.
- K. Illner, C. Fuchs, F.J. Theis (2014): Bayesian blind source separation for data with network structure. Journal of Computational Biology 21(11), pp. 855-865.
- K. Illner, C. Fuchs, F.J. Theis (2014): Single-cell analysis: biology at high resolution. Separation Science & Applications 34, pp. 24-26.
- K. Illner, C. Fuchs, F.J. Theis (2014): Einzelzellanalysen: Biologie in Hochauflösung. GIT-Laborzeitschrift 9, pp. 28-30.
- K. Illner, C. Fuchs, F.J. Theis (2014): Bayesian blind source separation applied to the lymphocyte pathway. Proceedings of the 21st International Conference on Computational Statistics, COMPSTAT 2014, August 19-22, 2014, Geneva, Switzerland.
- C. Fuchs (2014): Mische und herrsche. Laborpraxis, Mai 2014, 38. Jhg., LP 5, pp. 20-22.
- S.S. Bajikar*, C. Fuchs*, A. Roller, F.J. Theis, K.A. Janes (2014): Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles. PNAS 111(5), pp. E626-635. Project website
- E. Albrecht, M. Waldenberger, J. Krumsiek, A. Evans, U. Jeratsch, M. Breier, J. Adamski, W. Koenig, S. Zeilinger, C. Fuchs, N. Klopp, F. Theis, H.-E. Wichmann, K. Suhre, T. Illig, K. Strauch, A. Peters, C. Gieger, G. Kastenmüller, A. Doering, C. Meisinger (2014): Metabolite profiling reveals new insights into the regulation of serum urate in humans. Metabolomics 10(1), pp. 141-151.
- S.Wahl, C. Holzapfel, Z. Yu, M. Breier, I. Kondofersky, C. Fuchs, P. Singmann, C. Prehn, J. Adamski, H. Grallert, T. Illig, R. Wang-Sattler, T. Reinehr (2013): Metabolomics reveals determinants of weight loss during lifestyle intervention in obese children. Metabolomics 9(6), pp. 1157-1167.
- K. Schneider*, C. Fuchs*, A. Dobay, A. Rottach, W. Qin, P. Wolf, J. Álvarez-Castro, M. Nalaskowski, E. Kremmer, V. Schmid, H. Leonhardt, L. Schermelleh (2013): Dissection of cell cycle dependent dynamics of Dnmt1 by FRAP and diffusion-coupled modeling. Nucleic Acids Research 41(9), pp. 4860-4876.
- K. Illner, C. Fuchs, F. Theis (2012): Blind source separation using latent Gaussian graphical models, Proceedings of the Ninth International Workshop on Computational Systems Biology, WCSB 2012, June 4-6, 2012, Ulm, Germany.
- G. Treu, F. Fuchs, C. Dargatz (2008): Implicit Authorization for Social Location Disclosure. Journal of Software 3(1), pp. 26.
- G. Treu, F. Fuchs, C. Dargatz (2007): Implicit Authorization for Accessing Location Data in a Social Context. Proceedings of the 2nd International Conference on Availability, Reliability and Security, ARES 2007, Vienna.
- C. Dargatz (2006): A Diffusion Approximation for an Epidemic Model, Discussion Paper 517 of the Collaborative Research Centre 386.
- C. Dargatz, V. Georgescu, L. Held (2005): Stochastic Modelling of the Spatial Spread of Influenza in Germany. Austrian Journal of Statistics, 35(1), pp. 5-20. Supporting material
Theses
- C. Dargatz (2010): Bayesian Inference for Diffusion Processes with Applications in Life Sciences. Ph.D. Thesis, Ludwig-Maximilians-Universität Munich.
- C. Dargatz (2004): Probabilistic Analysis of the Profile of Binary and Digital Search Trees. Diploma Thesis (continuation of M.Sc. Thesis), University of Hanover.
- C. Dargatz (2003): Probabilistic Analysis of the Profile of Binary and Digital Search Trees. M.Sc. Thesis, Brunel University West London.
Teaching
Since 2018
My teaching activities at Bielefeld University since 2018 are listed here.
Summer Term 2017
Reading and Discussion Course on Computational Cancer Models at TU Munich
Winter Term 2016/17
Generalized Regression Models at LMU Munich
Applied Methods for the Analysis of Clinical Studies at LMU Munich
Statistical Internship at LMU Munich
Winter Term 2014/15
Lecture Series on Topics from Computational Biology at TU Munich
Winter Term 2011/12
Mathematical Modeling of Protein Signaling: a Hands-on Introduction at TU Munich
Summer Term 2011
Reading and Discussion Course on Statistical Learning and Data Mining at TU Munich
Previous Terms
Please visit my website at LMU Munich.
Curriculum vitae
| since 01/2018 | Professor of Data Science at the Faculty of Business Administration and Economics, Bielefeld University, Germany | |
| since 01/2016 | Group Leader of the Biostatistics research group at the Institute of Computational Biology, Helmholtz Zentrum Munich, Germany | |
10/2016-03/2017 | Interim W3 professor for Applied Stochastics at the Department of Statistics, Ludwig-Maximilians-Universität Munich, Germany | |
| 05/2013-12/2015 | Team Leader of the Biostatistics research team at the Institute of Computational Biology, Helmholtz Zentrum Munich, Germany | |
| since 09/2011 | Guest Lecturer at the Faculty of Mathematics, Technical University Munich, Germany | |
01/2011-04/2013 | Research Fellow (Postdoc) at the Computational Modeling in Biology group, Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum Munich, Germany | |
| 11/2010-12/2010 | Research Fellow (Postdoc) at the Department of Statistics, University of Warwick, UK | |
| 03/2005-10/2010 | Research Assistant (Ph.D. student) at the Collaborative Research Unit and the Chair of Statistics, Department of Statistics, Ludwig-Maximilians-Universität Munich, Germany | |
| 01/2007-03/2007 | Visiting Ph.D. student at the Department of Mathematics and Statistics, Lancaster University, UK | |
| 10/1999-01/2005 | German Diploma (eq. M.Sc.) in Mathematics (major) and Computer Science (minor), University of Hanover, Germany | |
| 09/2002-09/2003 | Master of Science in Computational Mathematics with Modelling, Brunel University West London, UK |
