Johannes Textor
Associate Professor (Universitair Hoofddocent)
Institute for Computing and
Information Sciences
Radboud University,
Nijmegen, The Netherlands
Radboud Institute for Molecular Life Sciences,
Tumor Immunology department,
Radboud University
Medical Center,
Nijmegen, The Netherlands
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Contact Information
Radboud University:
Mercator building
Second floor, room 17
Toernooiveld 212
6525 EC NIJMEGEN
Radboudumc:
Medical BioSciences
Geert Grooteplein 26-28, 5th floor
6525 GA Nijmegen
The Netherlands
mail: johannes.textor }at{ ru.nl
or: johannes.textor }at{ gmx.de
Research
I lead the Computational Immunology group
at the Data Science section of the
Institute for Computing and Information Sciences
at Radboud University and
the department of Tumor Immunology at the
Radboud Institute for Molecular Life Sciences,
Radboud University Medical Center (Radboudumc), Nijmegen,
The Netherlands.
We use simulation models (like this one),
machine learning, and causal inference methods (like DAGs)
to study information processing in the adaptive immune sytem.
Our work has two main goals. First and foremost, we want to understand how the immune system perceives
and interacts with "abnormal" information coming from pathogens or tumors. Such knowledge
is useful to design immunological treatments such as vaccines or tumor immunotherapies.
Second, we are interested in designing immunologically inspired machine learning and information
processing systems -- Artificial Immune Systems. We use these to understand more
fundamentally how the immune system stores, retrieves and modifies information, and how this differs
from the second major information-processing system in our bodies, the central nervous system.
Ultimately, our goal is to understand why these two marvelously complex information-processing systems
exist in our bodies, why they are so different in their architecture, and how they complement each other.
We collaborate with inspiring colleagues
-- at the Tumor Immunology department in Nijmegen, and other researchers groups around the world --
trying our best to help them in their research
by helping to address computational questions
and identifying appropriate statistical methodology.
Publications
Show:
complete list |
selected publications
Author order is highlighted where it is meaningful (e.g. it is not meaningful in
theoretical computer science, but it is in computational biology). If two or more
authors are highlighted, this means they contributed equally.
Preprints
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Shabaz Sultan, Sapna Devi, Scott Mueller,
Johannes Textor:
A parallelized cellular Potts model that enables simulations at tissue scale.
arXiv, 2023. doi: 10.48550/arXiv.2312.09317
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Shabaz Sultan, Mark A. J. Gorris, Lieke L. van der Woude, Franka Buytenhuijs, Evgenia Martynova, Sandra van Wilpe, Kiek Verrijp, Carl G. Figdor, I. Jolanda M. de Vries, Johannes Textor:
A Segmentation-Free Machine Learning Architecture for Immune Landscape Phenotyping in Solid Tumors by Multichannel Imaging.
bioRxiv, 2021. doi: 10.1101/2021.10.22.464548
2024
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Ankur Ankan, Johannes Textor:
pgmpy: A Python Toolkit for Bayesian Networks.
JMLR, 2024 (in press). doi: 10.48550/arXiv.2304.08639
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Jan Schering, Sander Keemink, Johannes Textor:
Fitting Stochastic Lattice Models Using Approximate Gradients.
ECMS International Conference on Modelling and Simulation, 2024. doi: 10.7148/2024-0366
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Gijs Schröder, Inge M. N. Wortel, Johannes Textor:
Implementing Immune Repertoire Models Using Weighted Finite State Machines.
PPSN 2024. doi: 10.1007/978-3-031-70071-2_20
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Evgenia Martynova, Johannes Textor:
A Uniformly Bounded Correlation Function for Spatial Point Patterns.
KDD 2024. doi: 10.1145/3637528.3671891
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Kalijn F. Bol, Gerty Schreibelt, Martine Bloemendal, Wouter W. van Willigen, Simone Hins-de Bree, Anna L. de Goede, Annemiek J. de Boer, Kevin J. H. Bos, Tjitske Duiveman-de Boer, Michel A. M. Olde Nordkamp, Tom G. M. van Oorschot, Carlijn J. Popelier, Jeanne M. Pots, Nicole M. Scharenborg, Mandy W. M. M. van de Rakt, Valeska de Ruiter, Wilmy S. van Meeteren, Michelle M. van Rossum, Sandra J. Croockewit, Bouke J. Koeneman, Jeroen H. A. Creemers, Inge M. N. Wortel, Caroline Angerer, Mareke Brüning, Katja Petry, Andrzej Dzionek, Astrid A. van der Veldt, Dirk J. van Grünhagen, Johanna E. M. Werner, Johannes J. Bonenkamp, John B. A. G. Haanen, Marye J. Boers-Sonderen, Rutger H. T. Koornstra, Martijn F. Boomsma, Erik H. J. Aarntzen, Martin Gotthardt, James Nagarajah, Theo J. M. de Witte, Carl G. Figdor, Johannes H. W. de Wilt, Johannes Textor, Jan Willem B. de Groot, Winald R. Gerritsen & I. Jolanda M. de Vries:
Adjuvant dendritic cell therapy in stage IIIB/C melanoma: the MIND-DC randomized phase III trial.
Nature Communications 15, 2024. doi: 10.1038/s41467-024-45358-0
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Iris A.E. van der Hoorn, Evgenia Martynova, Beatriz Subtil, Jelena Meek, Kiek Verrijp,
Johannes Textor, Georgina Flórez-Grau, Berber Piet,
Michel M. van den Heuvel, I. Jolanda M. de Vries, Mark A. J. Gorris:
Detection of dendritic cell subsets in the tumor microenvironment by multiplex immunohistochemistry.
European Journal of Immunology, 2023. doi: 10.1002/eji.202350616
2023
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Johannes Textor, Franka Buytenhuijs, Dakota Rogers,
Ève Mallet Gauthier, Shabaz Sultan, Inge M. N. Wortel, Kathrin Kalies,
Anke Fähnrich, René Pagel, Heather J. Melichar, Jürgen Westermann, Judith N. Mandl:
Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity
Cell Systems, 14:1-15, 2023. doi: 10.1016/j.cels.2023.11.004
The T cell receptor (TCR) is pivotal in determining T cell fate, yet analyzing the
enormous diversity of TCRs is challenging. We
built a machine learning algorithm that scores the self-reactivity of TCR beta chains,
and show that this algorithm can stratify complex TCR sequencing data ranging from
cells responding to viral infections, to regulatory cells, to thymocytes.
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Ian Shrier, Steven D. Stovitz, Johannes Textor:
Identifiability of causal effects in test-negative design studies.
International Journal of Epidemiology, 2023. doi: 10.1093/ije/dyad102
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Daniel R. Parisi, Lucas E. Wiebke, Judith N. Mandl, Johannes Textor:
Flow rate resonance of actively deforming particles.
Scientific Reports, 2023. doi: 10.1038/s41598-023-36182-5
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Jeroen H.A. Creemers, Ankur Ankan, Kit C.B. Roes, Gijs Schröder, Niven Mehra, Carl G. Figdor, I. Jolanda M. de Vries, Johannes Textor:
In silico cancer immunotherapy trials uncover the consequences of therapy-specific response patterns for clinical trial design and outcome.
Nature Communications 14: 2348, 2023.
Late-stage cancer immunotherapy trials often lead to unusual survival curve shapes, like delayed curve separation or a plateauing curve in the treatment arm. It is critical for trial success to anticipate such effects in advance and adjust the design accordingly. We simulate immunotherapy trials using three different mathematical models to assemble virtual patient cohorts undergoing late-stage immunotherapy, chemotherapy, or combination therapies. All three models predict the distinctive survival curve shapes commonly associated with immunotherapies. We demonstrate how, by simulating various possible scenarios, the robustness of trial design choices such as sample size and randomization rate can be scrutinized, and possible pitfalls can be identified in advance. We provide readily usable, web-based implementations of our three trial simulation models to facilitate their use by biomedical researchers, doctors, and trialists.
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Inge Wortel,
Johannes Textor:
Interpreting T-cell search “strategies” in the light of evolution under constraints.
PLoS Computational Biology 19(2): e1010918. doi: 10.1371/journal.pcbi.1010918
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Ankur Ankan,
Inge M. N. Wortel, Kenneth A. Bollen,
Johannes Textor:
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models.
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7252-7264, 2023.
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Ankur Ankan,
Johannes Textor:
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data.
Proceedings of the AAAI Conference on Artificial Intelligence 37(10), 12180-12188, 2023. doi: 10.1609/aaai.v37i10.26436
2022
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Lieke L. van der Woude, Mark A. J. Gorris, Inge M. N. Wortel, Jeroen H. A. Creemers, Kiek Verrijp,
Kim Monkhorst, Katrien Grünberg, Michel M van den Heuvel, Johannes Textor,
Carl G. Figdor, Berber Piet, Willemijn S. M. E. Theelen, I Jolanda M de Vries:
Tumor microenvironment shows an immunological abscopal effect in patients with NSCLC treated with pembrolizumab-radiotherapy combination.
Journal for Immunotherapy of Cancer
10: e005248, 2022. doi: jitc-2022-005248
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Mark AJ Gorris, Lieke L van der Woude, Leonie I Kroeze, Kalijn Bol, Kiek Verrijp, Avital L Amir, Jelena Meek,
Johannes Textor, Carl G Figdor, I Jolanda M de Vries
Jeroen H.A. Creemers, Willem J. Lesterhuis, Niven Mehra, Winald R. Gerritsen:
Paired primary and metastatic lesions of patients with ipilimumab-treated melanoma: high variation in lymphocyte infiltration and HLA-ABC expression whereas tumor mutational load is similar and correlates with clinical outcome.
Journal for Immunotherapy of Cancer
10: e004329, 2022. doi: jitc-2021-004329
2021
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Dakota Rogers, Aditi Sood, HanChen Wang, Jasper J. P. van Beek, Thomas J. Rademaker,
Patricio Artusa, Caitlin Schneider, Connie Shen, Dylan C. Wong, Marie-Éve Lebel,
Stephanie A. Condotta, Martin J. Richer, Andrew J. Martins, John S. Tsang, Luis Barreiro,
Paul Francois, David Langlais, Heather J. Melichar,
Johannes Textor, Judith N. Mandl:
Pre-existing chromatin accessibility and gene expression differences among naïve CD4+
T cells influence effector potential.
Cell Reports 37(9):110064, 2021. doi: 10.1016/j.celrep.2021.110064
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Bettina Weigelin, Annemieke Th Den Boer, Esther Wagena, Kelly Broen, Harry Dolstra, Rob J De Boer, Carl G Figdor,
Johannes Textor,
Peter Friedl:
Cytotoxic T cells are able to efficiently eliminate cancer cells by additive cytotoxicity.
Nature Communications 12:5217, 2021. doi: 10.1038/s41467-021-25282-3
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Inge M N Wortel, Katharina Dannenberg, Jeffrey C Berry, Mark J Miller,
Johannes Textor:
CelltrackR: an R package for fast and flexible
analysis of immune cell migration data.
Immunoinformatics, 2021. doi: 10.1016/j.immuno.2021.100003
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Jeroen H.A. Creemers, Willem J. Lesterhuis, Niven Mehra, Winald R. Gerritsen,
Carl G. Figdor, I. Jolanda M. de Vries, Johannes Textor:
A tipping point in cancer-immune dynamics leads to divergent immunotherapy
responses and hampers biomarker discovery.
Journal for Immunotherapy of Cancer 9:e002032, 2021. doi: 10.1136/jitc-2020-002032
It remains hard to predict how cancer patients will respond to immunotherapy. Despite efforts to identify new biomarkers using advanced techniques, only a few make it to clinical use. We used computational modeling to simulate the interactions between tumors and the immune system, and used our model to investigate the effects of immune checkpoint inhibition (ICI) on patient survival. Our models showed that the transition from immune control to evasion occurs occurs suddenly rarther than gradually. Patients near this tipping point may therefore benefit significantly from ICI, while those farther away may not. This insight suggests that the varying success of immunotherapy in different patients may be explained by their proximity to this tipping point. We show that this implies that immunological and tumor-related markers need to be combined when aiming to predict tratement success, as these factors jointly determine a patient's position relative to the tipping point.
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Inge M N Wortel, Ioana Niculescu, Martijn Kolijn, Nir Gov, Rob J de Boer, Johannes Textor:
Local actin dynamics couple speed and persistence in a Cellular Potts Model of cell migration.
Biophysical Journal, 2021. doi: 10.1016/j.bpj.2021.04.036
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Jeroen H.A. Creemers,
Maarten J. van der Doelen, Sandra van Wilpe, Rick Hermsen, Tjitske Duiveman-de Boer, Diederik M. Somford,
Marcel J.R. Janssen, J. P. Michiel Sedelaar,
Niven Mehra, Johannes Textor, Harm Westdorp:
Immunophenotyping reveals longitudinal changes in circulating immune cells during radium-223 therapy in patients with metastatic castration-resistant prostate cancer.
Frontiers in Oncology 11:667658, 2021. doi: 10.3389/fonc.2021.667658
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Inge M N Wortel,
Johannes Textor:
Artistoo: build, share, and explore simulations of cells and tissues in the web browser.
eLife 10:e61288, 2021. doi: 10.7554/eLife.61288
The cellular Potts model (CPM) can simulate biological processes at tissue scale. Artistoo (Artificial Tissue Toolbox) is a JavaScript library for building ‘explorable’ CPM simulations where viewers can change parameters interactively, exploring their effects in real time. Simulations run directly in the web browser and do not require third-party software, plugins, or back-end servers. The JavaScript implementation imposes no major performance loss compared to frameworks written in C++; Artistoo remains sufficiently fast for interactive, real-time simulations. Artistoo provides an opportunity to unlock CPM models for a broader audience: interactive simulations can be shared via a URL in a zero-install setting. Artistoo has applications in CPM research, science dissemination, open science, and education.
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Simone P Sittig, Jasper JP van Beek, Georgina Flórez‐Grau, Jorieke Weiden, Sonja I Buschow, Mirjam C van der Net, Rianne van Slooten, Marcel M Verbeek, P Ben H Geurtz, Johannes Textor, Carl G Figdor, I Jolanda M de Vries, Gerty Schreibelt:
Human type 1 and type 2 conventional dendritic cells express indoleamine 2, 3‐dioxygenase 1 with functional effects on T cell priming.
European Journal of Immunology, 2021. doi: 10.1002/eji.202048580
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Ankur Ankan, Inge M N Wortel,
Johannes Textor:
Testing Graphical Causal Models Using the R Package "dagitty".
Current Protocols 1(2):e45, 2021. doi: 10.1002/cpz1.45
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Peter WG Tennant,
Wendy J Harrison,
Eleanor J Murray,
Kellyn F Arnold,
Laurie Berrie,
Matthew P Fox,
Sarah C Gadd,
Claire Keeble,
Lynsie R Ranker,
Johannes Textor,
Georgia D Tomova,
Mark S Gilthorpe,
George TH Ellison:
Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review & recommendations
International Journal of Epidemiology 50(2), 2021. doi: 10.1093/ije/dyaa213
2020
2019
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Benny Chain, Victor Greiff, Johannes Textor, Gur Yaari:
Editorial: Methods and Applications of Computational Immunology.
Frontiers in Immunology, 2019. doi: 10.3389/fimmu.2019.02818
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Kasper Soekarjo, Johannes Textor, Rob J de Boer:
Local Attachment Explains Small-World-Like Properties of Fibroblastic Reticular Cell Networks in Lymph Nodes.
Journal of Immunology, 2019. doi: 10.4049/jimmunol.1801016
Preprint
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Kellyn F Arnold, George TH Ellison, Sarah C Gadd, Johannes Textor, Peter WG Tennant, Allison Heppenstall, Mark S Gilthorpe:
Adjustment for time-invariant and time-varying confounders in 'unexplained residuals' models for longitudinal data within a causal framework and associated challenges.
Statistical Methods in Medical Research
28 (5): 1347-1364, 2019.
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Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Separators and Adjustment Sets in Ancestral Graphs: Complete Criteria and an Algorithmic Framework.
Artificial Intelligence 270:1-40, 2019. doi: 10.1016/j.artint.2018.12.006
Postprint
The program dagitty.net is widely used to help building graphical models for causal inference. As the researcher builds their model, dagitty analyzes its structure in real time. To make this possible, we needed to develop novel efficient algorithms. This paper collects those algorithms and proves formally that they work as intended. Our methods have since then been picked up by various other researchers and underpin other algorithmic methods and software in addition to our own.
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Erinke van Grinsven, Johannes Textor,
Lucie S. P. Hustin, Katarina Wolf, Leo Koenderman and Nienke Vrisekoop:
Immature Neutrophils Released in Acute Inflammation Exhibit Efficient Migration despite Incomplete Segmentation of the Nucleus.
Journal of Immunology 202(1):207-217, 2019. doi: 10.4049/jimmunol.1801255
2018
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Thijs Roelofsen, Christina Wefers, Mark A. J. Gorris, Johannes Textor, Leon F. A. G. Massuger, I. Jolanda M. de Vries and Anne M. van Altena:
Spontaneous Regression of Ovarian Carcinoma After Septic Peritonitis; A Unique Case Report.
Frontiers in Oncology 8:562, 2018.
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Johannes Textor, Anke Fähnrich,
Martin Meinhardt, Cornelia Tune, Sebastian Klein, René Pagel, Peter König, Kathrin Kalies, Jürgen Westermann:
Deep Sequencing Reveals Transient Segregation of T Cell Repertoires in Splenic T Cell Zones During an Immune Response.
Journal of Immunology 201(2):350-358, 2018.
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Emilija Perković, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
Complete graphical characterization and construction of adjustment sets in Markov equivalence classes of ancestral graphs.
Journal of Machine Learning Research 18(220):1−62, 2018.
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Felix Thoemmes, Yves Rosseel, Johannes Textor:
Local Fit Evaluation of Structural Equation Models
Using Graphical Criteria.
Psychological Methods 23(1):27-41, 2018.
Postprint |
R code
Model testing is a crucial part of causal inference because all causal inference predictions are predicated on the underlying model being true, or at least not too wrong. This paper unifies various types of model testing under one common umbrella: local testing, where we do not only aim to check whether our model is false, but also where exactly the problem lies. We also present software to perform this type of testing easily.
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Mark A. J. Gorris, Altuna Halilovic, Katrin Rabold, Anne van Duffelen, Iresha N. Wickramasinghe, Dagmar Verweij, Inge M. N. Wortel, Johannes Textor, I. Jolanda M. de Vries, Carl G. Figdor:
Eight-Color Multiplex Immunohistochemistry for Simultaneous Detection of Multiple Immune Checkpoint Molecules within the Tumor Microenvironment.
Journal of Immunology 200(1):347-354, 2018.
2017
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Frans Bianchi,
Johannes Textor,
Geert van den Bogaart:
Transmembrane helices are an overlooked source of MHC class I epitopes.
Frontiers in Immunology 8:1118, 2017.
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Till S. M. Mathan, Johannes Textor,
Annette E. Sköld, Inge Beeren, Tom van Ooorschot, Mareke Brüning,
Carl G. Figdor, Sonja I. Buschow, Ghaith Bakdash,
I. Jolanda de Vries:
Harnessing RNA sequencing for global, unbiased evaluation of two new adjuvants for dendritic-cell immunotherapy.
Oncotarget 8:19879-19893, 2017.
2016
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Johannes Textor, Benito van der Zander, Mark K. Gilthorpe, Maciej Liskiewicz, George T.H. Ellison:
Robust causal inference using directed acyclic graphs: the R package ‘dagitty’.
International Journal of Epidemiology 45(6):1887-1894, 2016.
PDF postprint |
Supporting Information
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Johannes Textor, Judith N. Mandl, and Rob J. de Boer:
The Reticular Cell Network: A Robust Backbone for Immune Responses.
PLoS Biology 14(10): e2000827, 2016.
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Steve Boudewijns, Kalijn F. Bol, Gerty Schreibelt, Harm Westdorp, Johannes Textor, Michelle M. van Rossum, Nicole M. Scharenborg, Annemiek J. de Boer, Mandy W.M.M. van de Rakt, Jeanne M. Pots, Tom G.M. van Oorschot, Tjitske Duiveman-de Boer, Michel A. Olde Nordkamp, Wilmy S.E.C. van Meeteren, Winette T.A. van der Graaf, Johannes J. Bonenkamp, Johannes H.W. de Wilt, Erik H.J.G. Aarntzen, Cornelis J.A. Punt, Winald R. Gerritsen, Carl G. Figdor, I. Jolanda M. de Vries:
Adjuvant dendritic cell vaccination induces tumor-specific immune responses in the majority of stage III melanoma patients.
OncoImmunology e1191732, 2016.
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Angela Vasaturo, Altuna Halilovic, Kalijn F. Bol, Dagmar I. Verweij, Willeke A.M. Blokx, Cornelis J.A. Punt, Patricia J.T.A. Groenen, Han J.H.J.M. van Krieken, Johannes Textor, I. Jolanda M. de Vries, Carl G. Figdor:
T cell landscape in a primary melanoma predicts the survival of patients with metastatic disease after their treatment with dendritic cell vaccines.
Cancer Research 76(12):3496-506, 2016.
2015
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Ioana Niculescu, Johannes Textor, Rob J. de Boer:
Crawling and Gliding: A Computational Model for Shape-Driven
Cell Migration.
PLoS Computational Biology 11(10):e1004280, 2015.
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Xiangyu Rao, Ilka Hoof I, Debbie Van Baarle, Can Keşmir, Johannes Textor:
HLA Preferences for Conserved Epitopes: A Potential Mechanism for Hepatitis C
Clearance.
Frontiers in Immunology 6:552, 2015.
People who have the gene "HLA-B27" are more likely to clear Hepatitis C virus (HCV)
infections. We show that the immune system of such people is likely to attack conserved
regions of the HCV genome (marked in red), which the virus cannot easily mutate.
This could explain why HLA-B27 is a beneficial gene for
controlling HCV.
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Jürgen Westermann, Tanja Lange,
Johannes Textor, Jan Born:
System Consolidation During Sleep –
A Common Principle Underlying Psychological and
Immunological Memory Formation.
Trends in Neurosciences 38: 583-595, 2015.
In this opinion article, we note some intriguing
parallels between memory in the central nervous system and
memory in
the immune system.
Based on these, we argue
why sleep strengthens memory in both systems.
Highlighted in
EurekAlert!
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Justin M. Richner, Grzegorz B. Gmyrek, Jennifer Govero, Yizheng Tu,
Gerritje J. W. van der Windt, Talibah U. Metcalf, Elias K. Haddad,
Johannes Textor, Mark J. Miller, Michael S. Diamond:
Age-Dependent Cell Trafficking Defects in Draining Lymph Nodes Impair
Adaptive Immunity and Control of West Nile Virus Infection.
PLoS Pathogens 11(7): e1005027, 2015.
Highlighted in
EurekAlert!
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Johannes Textor, Alexander Idelberger, Maciej Liskiewicz:
Learning from Pairwise Marginal Independencies.
In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence
(UAI 2015), pp. 882-891.
AUAI Press, 2015.
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Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes Maathuis:
A Complete Generalized Adjustment Criterion.
In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence
(UAI 2015), pp. 682-691.
AUAI Press, 2015.
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Benito van der Zander, Johannes Textor, Maciej Liskiewicz:
Efficiently Finding Conditional Instruments for Causal Inference.
In Proceedings of the 24th International Joint Conference on Artificial
Intelligence (IJCAI 2015), pp. 3243-3249.
AAAI Press, 2015.
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Paola Masuzzo, Lennart Martens, 2014 Cell Migration Workshop Participants:
An open data ecosystem for cell migration research.
Trends in Cell Biology 25(2):55-8, 2015.
2014
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Johannes Textor, Sarah E. Henrickson, Judith N. Mandl,
Ulrich H. von Andrian, Jürgen Westermann, Rob J. de Boer,
Joost B. Beltman:
Random Migration and Signal Integration Promote Rapid and Robust T Cell Recruitment.
PLoS Computational Biology 10(8): e1003752, 2014.
The immune system's
T cells are constantly on the move:
they migrate between different lymphoid organs approximately once per day
(A),
and move within these organs
in a random fashion (B), changing their direction every
few minutes. We model this two-scale search and show how this
contributes to quick detection of invading pathogens.
PDF preprint
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Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Constructing Separators and Adjustment Sets in Ancestral Graphs.
In Proceedings of the 30th Conference on Uncertainty in
Artificial Intelligence (UAI 2014),
pp. 907-916. AUAI Press, 2014.
Technical report version (including proofs)
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Johannes Textor, Katharina Dannenberg, Maciej Liskiewicz:
A Generic Finite Automata Based Approach to Implementing Lymphocyte Repertoire Models.
In Proceedings of the 2014 conference on genetic and evolutionary
computation (GECCO'14), pp. 129-137. ACM, 2014.
PDF preprint
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David Banczyk, Kathrin Kalies, Lars Nachbar, Lars Bergmann,
Philipp Schmidt, Ulrike Bode, Bianca Teegen, Philipp Steven, Tanja Lange,
Johannes Textor, Ralf J Ludwig, Winfried Stöcker,
Peter König, Eric Bell, and Jürgen Westermann
Activated CD4(+) T cells enter the splenic T-cell zone and induce
auto-antibody-producing germinal centers through bystander activation.
European Journal of Immunology 44 (1):92-102, 2014.
2013
2012
2011
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Johannes Textor:
Our Moral Ancestors: Determining Adjustment Sets in Causal Diagrams
with Ease (in German).
Gesundheitswesen, 73:897-900, 2011.
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Johannes Textor, Juliane Hardt,
Sven Knüppel:
DAGitty: A Graphical Tool for Analyzing Causal Diagrams.
Epidemiology, 5(22):745, 2011.
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Rüdiger Reischuk, Johannes Textor:
Stochastic Search With Locally Clustered Targets:
Learning from T Cells.
In 10th International Conference on Artificial Immune Systems
(ICARIS 2011), Volume 6825 of Lecture Notes in Computer Science,
pp. 146-159.
Springer, 2011.
PDF preprint
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Johannes Textor, Antonio Peixoto,
Sarah E. Henrickson, Mathieu Sinn, Ulrich H. von Andrian, Jürgen Westermann:
Defining the Quantitative Limits of Intravital Two-Photon Lymphocyte
Tracking.
PNAS, 108(30):12401-12406, 2011.
Two-photon imaging allows to track cells in living animals.
But lymphocytes may spend days in lymph nodes,
and two-photon imaging can only run for a few hours. We wondered how much
this limits the precision with which we can describe lymphocyte motion based on
such experiments. By simulating T cell motion in a realistic artificial lymph node that
we reconstructed from tissue slices, we show that important
behaviors can indeed escape two-photon imaging.
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Johannes Textor, Maciej Liskiewicz:
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective.
In Proceedings of the 27th Conference on Uncertainty in
Artificial Intelligence (UAI 2011), pp. 681-688.
AUAI Press, 2011.
PDF preprint
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Michael Elberfeld, Johannes Textor:
Negative Selection Algorithms on Strings with Efficient Training and
Linear-Time Classification.
Theoretical Computer Science, 412(6):534-542, 2011.
PDF preprint
2010
2009
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Johannes Textor, Björn Hansen:
Hybrid Simulation Algorithms for an Agent Based Model of the
Immune Response.
Cybernetics and Systems
40(5):390-417, 2009.
PDF preprint
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Michael Elberfeld, Johannes Textor:
Efficient Algorithms for String-Based Negative Selection.
In Proceedings of the 8th International Conference on Artificial
Immune Systems (ICARIS 2009), Volume 5666 of
Lecture Notes in Computer Science, pp. 109-121.
Springer, 2009.
PDF preprint
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Johannes Textor, Benjamin Feldner:
An XML Pipeline Based System Architecture for Managing Bibliographic Metadata.
In Metadata and Semantics Research (MTSR'09), Volume 46 of
Communications in Computer and Information Science, pp. 130-140.
Springer, 2009.
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2008
2007
PhD Dissertation
My PhD thesis
was carried out at the Institute of Theoretical Computer Science,
University of Luebeck, Germany, under joint
supervision of Rüdiger Reischuk (Theoretical Computer Science)
and Jürgen Westermann (Immunology).
Johannes Textor:
Search and Learning in the Immune System: Models of Immune
Surveillance and Negative Selection.
PhD Dissertation, University of Luebeck, 2011.
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Software
Some software I wrote for my research is available for download. You can also visit my profile on github.
- An experimental implementation of my work
on efficient negative
selection algorithms written in Java.
- DAGitty, a tool to
draw and analyze causal diagrams written in JavaScript.
- LImmSim, an agent-based
simulation of the immune system written in C++.
- R packages for epitope prediction, cell track analysis,
and causal analysis.
Awards & important grants
Dates listed refer to the year in which the award was given.
- Program Grant (USD 1050K), Human Frontiers Science Program, 2020.
- Vidi Grant (€ 800K), Netherlands Organization for Scientific Research, 2019.
- Bas Mulder Award (€ 500K),
Dutch Cancer Research Foundation, 2017.
- IBM Best Student Paper Award 2014 for our paper (first author: Benito van der Zander)
"Constructing Separators and Adjustment Sets in Ancestral Graphs"
at UAI 2014.
- Stephan Weiland Preis, young investigator's
award by the German society for Epidemiology, 2012.
- GI Dissertationspreis 2011, joint award
by the German, Austrian and Swiss societies for computer
science for the best computer science dissertation of the year, 2012.
Press releases (in German):
GI
|
Uni Lübeck
- Staatlicher Universitätspreis 2011,
award for the best STEM dissertation, University of Lübeck, Germany, 2012.
- Best paper awards at the international conference on
artificial immune systems (ICARIS) in 2012 and 2009;
best student paper award at ICARIS in 2007; nominated for best
paper award at GECCO 2010 (genetics based machine learning track).