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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1F. Bertaux.

    Cell-based multi-scale modeling for systems and synthetic biology: from stochastic gene expression in single cells to spatially organized cell populations, Université Pierre & Marie Curie - Paris 6, June 2016.

    https://tel.archives-ouvertes.fr/tel-01405430
  • 2Y. Bourfia.

    Mathematical Modeling in Cellular Dynamics: Applications to Cancer Research, Université Paris 6 - Pierre et Marie Curie ; Université Cadi Ayyad, December 2016.

    https://hal.archives-ouvertes.fr/tel-01426296
  • 3G. Celliere.

    Multi-scale modeling of hepatic drug toxicity and its consequences on ammonia detoxification, MAMBA - Modelling and Analysis for Medical and Biological Applications, LJLL - Laboratoire Jacques-Louis Lions, Inria Paris-Rocquencourt, Universite Paris 7 Diderot, 2016, 221 p.
  • 4C. Emako Kazianou.

    Study of two-species chemotaxis models, Université Pierre et Marie Curie - Paris VI, March 2016.

    https://tel.archives-ouvertes.fr/tel-01365414
  • 5S. Eugene.

    Stochastic modelling in molecular biology: a probabilistic analysis of protein polymerisation and telomere shortening, UPMC LJLL, September 2016.

    https://hal.inria.fr/tel-01377561

Articles in International Peer-Reviewed Journals

  • 6A. Armiento, M. Doumic, P. Moireau, H. Rezaei.

    Estimation from Moments Measurements for Amyloid Depolymerisation, in: Journal of Theoretical Biology, March 2016. [ DOI : 10.1016/j.jtbi.2016.02.037 ]

    https://hal.archives-ouvertes.fr/hal-01248255
  • 7H. T. Banks, M. Doumic, C. Kruse.

    Efficient Numerical Schemes for Nucleation-Aggregation Models: Early Steps, in: Journal of Mathematical Biology, 2016. [ DOI : 10.1007/s00285-016-1026-0 ]

    https://hal.inria.fr/hal-00954437
  • 8A. Bhaya, P.-A. Bliman, F. Pazos.

    Cooperative concurrent asynchronous computation of the solution of symmetric linear systems, in: Numerical Algorithms, 2016. [ DOI : 10.1007/s11075-016-0213-9 ]

    https://hal.inria.fr/hal-01395756
  • 9G. Bocharov, A. Bouchnita, J. Clairambault, V. Volpert.

    Mathematics of Pharmacokinetics and Pharmacodynamics: Diversity of Topics, Models and Methods, in: Mathematical Modelling of Natural Phenomena, 2016.

    https://hal.inria.fr/hal-01413795
  • 10J. A. Carrillo, F. James, F. Lagoutière, N. Vauchelet.

    The Filippov characteristic flow for the aggregation equation with mildly singular potentials, in: Journal of Differential Equations, 2016, vol. 260, no 1, pp. 304-338, 33 pages.

    https://hal.archives-ouvertes.fr/hal-01061991
  • 11R. H. Chisholm, T. Lorenzi, J. Clairambault.

    Cell population heterogeneity and evolution towards drug resistance in cancer: Biological and mathematical assessment, theoretical treatment optimisation, in: Biochimica et Biophysica Acta (BBA) - General Subjects, June 2016, vol. 1860, pp. 2627 - 2645. [ DOI : 10.1016/j.bbagen.2016.06.009 ]

    https://hal.inria.fr/hal-01321535
  • 12J. Clairambault, O. Fercoq.

    Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology, in: Mathematical Modelling of Natural Phenomena, 2016, 22 p, V2 d'un dépôt précédemment effectué sous la référence clairambault:hal-01321536v1.

    https://hal.inria.fr/hal-01413791
  • 13F. Codeço Coelho, C. Torres Codeço, O. Gonçalves Cruz, S. Camargo, P.-A. Bliman.

    Epidemiological data accessibility in Brazil: Current challenges for an adequate response to emergencies, in: Lancet Infectious Diseases, 2016, vol. 16, pp. 524 - 525. [ DOI : 10.1016/S1473-3099(16)30007-X ]

    https://hal.inria.fr/hal-01395754
  • 14J. De Figueiró Santos, F. Codeço Coelho, P.-A. Bliman.

    Behavioral modulation of the coexistence between Apis melifera and Varroa destructor : A defense against colony colapse disorder?, in: PLoS ONE, September 2016. [ DOI : 10.1371/journal.pone.0160465 ]

    https://hal.inria.fr/hal-01395823
  • 15B. Després, B. Perthame.

    Uncertainty propagation;intrusive kinetic formulations of scalar conservation laws, in: SIAM/ASA Journal on Uncertainty Quantification, 2016, vol. 4, no 1, pp. 980-1013.

    http://hal.upmc.fr/hal-01146188
  • 16M. Doumic, M. Escobedo.

    Time Asymptotics for a Critical Case in Fragmentation and Growth-Fragmentation Equations, in: Kinetic and Related Models , June 2016, vol. 9, no 2, 47 p. [ DOI : 10.3934/krm.2016.9.251 ]

    https://hal.inria.fr/hal-01080361
  • 17M. Doumic, S. Eugene, P. Robert.

    Asymptotics of Stochastic Protein Assembly Models, in: SIAM Journal on Applied Mathematics, November 2016, vol. 76, no 6, 20 p. [ DOI : 10.1137/16M1066920 ]

    https://hal.inria.fr/hal-01301266
  • 18C. Emako, C. Gayrard, A. Buguin, L. Neves De Almeida, N. Vauchelet.

    Traveling Pulses for a Two-Species Chemotaxis Model, in: PLoS Computational Biology, April 2016, vol. 12, no 4, e1004843. [ DOI : 10.1371/journal.pcbi.1004843 ]

    https://hal.archives-ouvertes.fr/hal-01302632
  • 19S. Eugene, T. Bourgeron, Z. Xu.

    Effects of initial telomere length distribution on senescence onset and heterogeneity, in: Journal of Theoretical Biology, January 2017, vol. 413, 8 p.

    https://hal.inria.fr/hal-01378596
  • 20S. Eugene, W.-F. Xue, P. Robert, M. Doumic.

    Insights into the variability of nucleated amyloid polymerization by a minimalistic model of stochastic protein assembly, in: Journal of Chemical Physics, May 2016, vol. 144, no 17, 12 p. [ DOI : 10.1063/1.4947472 ]

    https://hal.inria.fr/hal-01205549
  • 21L. Gosse, N. Vauchelet.

    Hydrodynamic singular regimes in 1+1 kinetic models and spectral numerical methods, in: Journal of Mathematical Analysis and Applications, 2016. [ DOI : 10.1016/j.jmaa.2016.07.059 ]

    https://hal.archives-ouvertes.fr/hal-01354980
  • 22J. Haskovec, P. Markowich, B. Perthame, M. Schlottbom.

    Notes on a PDE System for Biological Network Formation, in: Nonlinear Analysis: Real World Applications, June 2016, vol. 138, pp. 127-155. [ DOI : 10.1016/j.na.2015.12.018 ]

    https://hal.archives-ouvertes.fr/hal-01232080
  • 23N. Jagiella, B. Müller, M. Müller, I. E. Vignon-Clementel, D. Drasdo.

    Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image Data, in: PLoS Computational Biology, 2016, vol. 12, no 2, e1004412. [ DOI : 10.1371/journal.pcbi.1004412 ]

    http://hal.upmc.fr/hal-01244593
  • 24I. C. Kim, B. Perthame, P. E. Souganidis.

    Free boundary problems for tumor growth: a viscosity solutions approach, in: Nonlinear Analysis Series A: theory, methods and applications, 2016, vol. 138, pp. 207-228. [ DOI : 10.1016/j.na.2016.01.019 ]

    http://hal.upmc.fr/hal-01155696
  • 25T. Lorenzi, R. H. Chisholm, J. Clairambault.

    Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations, in: Biology Direct, December 2016, vol. 11, no 1, 43 p. [ DOI : 10.1186/s13062-016-0143-4 ]

    https://hal.inria.fr/hal-01355314
  • 26T. Lorenzi, A. Lorz, B. Perthame.

    On interfaces between cell populations with different mobilities, in: Kinetic and Related Models , March 2017, vol. 10, no 1, pp. 299-311.

    https://hal.inria.fr/hal-01257180
  • 27N. Outada, N. Vauchelet, T. Akrid, M. Khaladi.

    From Kinetic Theory of Multicellular Systems to Hyperbolic Tissue Equations: Asymptotic Limits and Computing, in: Mathematical Models and Methods in Applied Sciences, 2017.

    https://hal.archives-ouvertes.fr/hal-01378301
  • 28B. Perthame, P. E. Souganidis.

    Rare mutations limit of a steady state dispersal evolution model, in: Mathematical Modelling of Natural Phenomena, 2016, vol. 11, no 4. [ DOI : 10.1051/mmnp/201611411 ]

    http://hal.upmc.fr/hal-01149029
  • 29B. Perthame, M. Tang, N. Vauchelet.

    Derivation of the bacterial run-and-tumble kinetic equation from a model with biochemical pathway, in: Journal of Mathematical Biology, 2016.

    http://hal.upmc.fr/hal-01131101
  • 30M. Strugarek, N. Vauchelet.

    Reduction to a single closed equation for 2 by 2 reaction-diffusion systems of Lotka-Volterra type, in: SIAM Journal on Applied Mathematics, 2016, vol. 76, no 5, pp. 2060-2080.

    https://hal.archives-ouvertes.fr/hal-01264980

International Conferences with Proceedings

  • 31P.-A. Bliman, B. D 'Avila Barros.

    Interval observer for SIR epidemic model subject to uncertain seasonality, in: Positive Systems - POSTA 2016, Roma, Italy, September 2016.

    https://hal.inria.fr/hal-01309743
  • 32W. Djema, F. Mazenc, C. Bonnet, J. Clairambault, P. Hirsch, F. Delhommeau.

    Stability of a Delay System Coupled to a Delay Differential-Difference System Describing the Coexistence of Ordinary and Mutated Hematopoietic Stem Cells, in: Conference on Decision and Control, Las Vegas, United States, December 2016.

    https://hal.inria.fr/hal-01389870
  • 33Y. Yin, O. Sedlaczek, J. Lotz, J. Olesch, K. Breuhahn, D. Drasdo, I. Vignon-Clementel.

    Tumor Microvasculature in Lung Cancer and Diffusion-Weighted MRI: Preliminary Results, in: IEEE Nuclear Science Symposuim & Medical Imaging Conference, Strasbourg, France, October 2016.

    https://hal.inria.fr/hal-01421152
  • 34Y. Yin, O. Sedlaczek, A. Warth, M. González-Vallinas, K. Breuhahn, I. Vignon-Clementel, D. Drasdo.

    Quantitative Estimation of Tumor Cellularity Based on Histology Data, in: IEEE Nuclear Science Symposuim & Medical Imaging Conference, Oct 2016, Strasbourg, France, October 2016.

    https://hal.inria.fr/hal-01421163

Scientific Books (or Scientific Book chapters)

  • 35S. Hoehme, A. Friebel, S. Hammad, D. Drasdo, J. G. Hengstler.

    Creation of Three-dimensional Liver Tissue Models from Experimental Images for Systems Medicine, in: Hepatocyte Transplantation, B. C. Peggy Stock (editor), Methods in Molecular Biology, Springer, November 2016, vol. 1506, pp. 319-362, PubMed-listed. [ DOI : 10.1007/978-1-4939-6506-9_22 ]

    https://hal.inria.fr/hal-01426722

Other Publications

  • 36E. Bernard, M. Doumic, P. Gabriel.

    Cyclic asymptotic behaviour of a population reproducing by fission into two equal parts, September 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01363549
  • 37F. Bertaux, S. Hoehme, W. Weens, B. Grasl-Kraupp, J. G. Hengstler, D. Drasdo.

    Model prediction and validation of an order mechanism controlling the spatio-temporal phenotype of early hepatocellular carcinoma, October 2016, working paper or preprint.

    https://hal.inria.fr/hal-01426629
  • 38S. V. Bitseki Penda, A. Olivier.

    Autoregressive Functions Estimation in Nonlinear Bifurcating Autoregressive Models, February 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01159255
  • 39M. Burger, A. Lorz, M.-T. Wolfram.

    Balanced Growth Path Solutions of a Boltzmann Mean Field Game Model for Knowledge Growth, February 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01267078
  • 40J. Clairambault, L. Almeida, R. Chisholm, T. Lorenzi, A. Lorz, B. Perthame, C. Pouchol, E. Trélat.

    Tumour growth and drug resistance: an evolutionary view with perspectives in therapeutics, July 2016, ECMTB 2016 - European Conference on Mathematical and Theoretical Biology, Poster.

    https://hal.inria.fr/hal-01378290
  • 41J. Clairambault, O. Fercoq.

    Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology, May 2016, working paper or preprint.

    https://hal.inria.fr/hal-01321536
  • 42M. Doumic.

    Simulation of the growth-fragmentation equation in a periodic case - Non-dissipative numerical scheme, December 2016.

    https://hal.inria.fr/medihal-01407826
  • 43M. Doumic, B. Perthame, E. Ribes, D. Salort, N. Toubiana.

    Toward an integrated workforce planning framework using structured equations, July 2016, working paper or preprint.

    https://hal.inria.fr/hal-01343368
  • 44C. Emako, M. Tang.

    Well-balanced and asymptotic preserving schemes for kinetic models , March 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01265029
  • 45M. Hoffmann, A. Olivier.

    Nonparametric estimation of the division rate of an age dependent branching process, January 2016, working paper or preprint. [ DOI : 10.1016/j.spa.2015.11.009 ]

    https://hal.archives-ouvertes.fr/hal-01254203
  • 46H. Janati.

    Investigating cancer resistance in a Glioblastoma cell line with gene expression data, Inria, December 2016.

    https://hal.inria.fr/hal-01412944
  • 47C. Jourdana, P. Pietra, N. Vauchelet.

    Hybrid coupling of a one-dimensional Energy-Transport Schrödinger system, 2016, Accepted for publication in Monatshefte für Mathematik.

    https://hal.archives-ouvertes.fr/hal-01052415
  • 48F. Lagoutière, N. Vauchelet.

    Analysis and simulation of nonlinear and nonlocal transport equations, August 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01352548
  • 49H. Moundoyi, A. Moussa, B. Perthame, B. Sarels.

    Analytical examples of diffusive waves generated by a traveling wave, November 2016, working paper or preprint.

    http://hal.upmc.fr/hal-01404972
  • 50A. Olivier.

    How does variability in cells' aging and growth rates influence the malthus parameter?, February 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01274529
  • 51B. Penda, M. Hoffmann, A. Olivier.

    Adaptive Estimation for Bifurcating Markov Chains, January 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01254200
  • 52C. Pouchol, J. Clairambault, A. Lorz, E. Trélat.

    Asymptotic analysis and optimal control of an integro-differential system modelling healthy and cancer cells exposed to chemotherapy, December 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01416594
  • 53M. Strugarek, N. Vauchelet, J. Zubelli.

    Quantifying the Survival Uncertainty of Wolbachia-infected Mosquitoes in a Spatial Model *, August 2016, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01355118
  • 54P. Van Liedekerke, J. Neitsch, T. Johann, K. Alessandri, P. Nassoy, D. Drasdo.

    Quantitative modeling identifies robust predictable stress response of growing CT26 tumor spheroids under variable conditions, December 2016, working paper or preprint.

    https://hal.inria.fr/hal-01421179
  • 55Y. Yin, O. Sedlaczek, B. Müller, A. Warth, M. González-Vallinas, B. Lahrmann, N. Grabe, H.-U. Kauczor, K. Breuhahn, I. Vignon-Clementel, D. Drasdo.

    Tumor cell load and heterogeneity estimation from diffusion-weighted MRI calibrated with histological data: an example from lung cancer, December 2016, working paper or preprint.

    https://hal.inria.fr/hal-01421398
References in notes
  • 56F. Bertaux, S. Stoma, D. Drasdo, G. Batt.

    Modeling Dynamics of Cell-to-Cell Variability in TRAIL-Induced Apoptosis Explains Fractional Killing and Predicts Reversible Resistance, in: PLoS Computational Biology, 2014, vol. 10, no 10, 14 p. [ DOI : 10.1371/journal.pcbi.1003893.s016 ]

    https://hal.inria.fr/hal-00942885
  • 57J. Bertoin, A. R. Watson.

    Probabilistic aspects of critical growth-fragmentation equations, in: ArXiv e-prints, June 2015.
  • 58F. Billy, J. Clairambault.

    Designing proliferating cell population models with functional targets for control by anti-cancer drugs, in: Discrete and Continuous Dynamical Systems - Series B, 2013, vol. 18, no 4, pp. 865 - 889, 24 pages. [ DOI : 10.3934/dcdsb.2013.18.865 ]

    https://hal.archives-ouvertes.fr/hal-00726195
  • 59F. Billy, J. Clairambault, O. Fercoq.

    Optimisation of cancer drug treatments using cell population dynamics, in: Mathematical Methods and Models in Biomedicine, U. Ledzewicz, H. Schättler, A. Friedman, E. Kashdan (editors), Lecture Notes on Mathematical Modelling in the Life Sciences, Springer New York, January 2013, 265 p. [ DOI : 10.1007/978-1-4614-4178-6_10 ]

    https://hal.archives-ouvertes.fr/hal-00770366
  • 60F. Billy, J. Clairambault, O. Fercoq, S. Gaubert, T. Lepoutre, T. Ouillon, S. Saito.

    Synchronisation and control of proliferation in cycling cell population models with age structure, in: Mathematics and Computers in Simulation, February 2014, vol. 96, pp. 66-94. [ DOI : 10.1016/j.matcom.2012.03.005 ]

    https://hal.archives-ouvertes.fr/hal-00662885
  • 61T. Bourgeron, Z. Xu, M. Doumic, M. T. Teixeira.

    The asymmetry of telomere replication contributes to replicative senescence heterogeneity, in: Scientific Reports, October 2015, vol. 5, 15326 p. [ DOI : 10.1038/srep15326 ]

    http://hal.upmc.fr/hal-01272075
  • 62V. Calvez, M. Doumic, P. Gabriel.

    Self-similarity in a General Aggregation-Fragmentation Problem; Application to Fitness Analysis, in: J. Maths Pures Appl., November 2010, vol. 98, pp. 1-27.

    https://hal.archives-ouvertes.fr/hal-00539279
  • 63R. H. Chisholm, T. Lorenzi, A. Lorz, A. K. Larsen, L. N. d. Almeida, A. Escargueil, J. Clairambault.

    Emergence of Drug Tolerance in Cancer Cell Populations: An Evolutionary Outcome of Selection, Nongenetic Instability, and Stress-Induced Adaptation, in: Cancer Research, Jan 2015, vol. 75, no 6, pp. 930–939. [ DOI : 10.1158/0008-5472.can-14-2103 ]

    http://dx.doi.org/10.1158/0008-5472.CAN-14-2103
  • 64L. A. D'Alessandro, S. Hoehme, A. Henney, D. Drasdo, U. Klingmüller.

    Unraveling liver complexity from molecular to organ level: Challenges and perspectives, in: Progress in Biophysics and Molecular Biology, January 2015, vol. 117, no 1, pp. 78–86. [ DOI : 10.1016/j.pbiomolbio.2014.11.005 ]

    https://hal.inria.fr/hal-01257160
  • 65M. Doumic, P. Gabriel.

    Eigenelements of a General Aggregation-Fragmentation Model, in: Mathematical Models and Methods in Applied Sciences, May 2010, vol. 20, pp. 757-783.

    https://hal.archives-ouvertes.fr/hal-00408088
  • 66M. Doumic, M. Hoffmann, N. Krell, L. Robert.

    Statistical estimation of a growth-fragmentation model observed on a genealogical tree, October 2012, 46 pages, 4 figures.

    https://hal.archives-ouvertes.fr/hal-00763601
  • 67M. Doumic, M. Hoffmann, P. Reynaud-Bouret, V. Rivoirard.

    Nonparametric estimation of the division rate of a size-structured population, in: SIAM Journal on Numerical Analysis, April 2012, vol. 50, no 2, pp. 925–950. [ DOI : 10.1137/110828344 ]

    https://hal.archives-ouvertes.fr/hal-00578694
  • 68M. Doumic, P. Maia, J. Zubelli.

    On the Calibration of a Size-Structured Population Model from Experimental Data, in: Acta Biotheoretica, 2010, vol. 58, no 4, pp. 405–413.

    http://dx.doi.org/10.1007/s10441-010-9114-9
  • 69M. Doumic, L. Tine.

    Estimating the Division Rate for the Growth-Fragmentation Equation, in: Journal of Mathematical Biology, 2013, vol. 67, no 1, pp. 69–103.

    http://dx.doi.org/10.1007/s00285-012-0553-6
  • 70D. Drasdo, S. Hoehme, M. Block.

    On the Role of Physics in the Growth and Pattern Formation of Multi-Cellular Systems: What can we Learn from Individual-Cell Based Models?, in: Journal of Statistical Physics, 2007, vol. 128, no 1-2, pp. 287–345.

    http://dx.doi.org/10.1007/s10955-007-9289-x
  • 71D. Drasdo, S. Hoehme, J. G. Hengstler.

    How predictive quantitative modeling of tissue organization can inform liver disease pathogenesis, in: Journal of Hepatology, October 2014, vol. 61, no 4, pp. 951–956. [ DOI : 10.1016/j.jhep.2014.06.013 ]

    https://hal.inria.fr/hal-01110644
  • 72A. Friebel, J. Neitsch, T. Johann, S. Hammad, D. Drasdo, S. Hoehme.

    TiQuant: software for tissue analysis, quantification and surface reconstruction, in: Bioinformatics, June 2015, vol. 31, no 19, pp. 3234-3236. [ DOI : 10.1093/bioinformatics/btv346 ]

    https://hal.inria.fr/hal-01257137
  • 73J. Galle, G. Aust, G. Schaller, T. Beyer, D. Drasdo.

    Individual cell-based models of the spatial-temporal organization of multicellular systems–achievements and limitations, in: Cytometry. Part A : the journal of the International Society for Analytical Cytology, July 2006, vol. 69, no 7, pp. 704–10. [ DOI : 10.1002/cyto.a.20287 ]

    http://www.ncbi.nlm.nih.gov/pubmed/16807896
  • 74A. Ghallab, G. Cellière, S. Henkel, D. Driesch, S. Hoehme, U. Hofmann, S. Zellmer, P. Godoy, A. Sachinidis, M. Blaszkewicz, R. Reif, R. Marchan, L. Kuepfer, D. Häussinger, D. Drasdo, G. Gebhardt, J. G. Hengstler.

    Model-guided identification of a therapeutic strategy to reduce hyperammonemia in liver diseases, in: Journal of Hepatology, November 2015, vol. 64, no 4, pp. 860–871. [ DOI : 10.1016/j.jhep.2015.11.018 ]

    https://hal.archives-ouvertes.fr/hal-01257127
  • 75S. Hammad, S. Hoehme, A. Friebel, I. von Recklinghausen, A. Othman, B. Begher-Tibbe, R. Reif, P. Godoy, T. Johann, A. Vartak, K. Golka, P. O. Bucur, E. Vibert, R. Marchan, B. Christ, S. Dooley, C. Meyer, I. Ilkavets, U. Dahmen, O. Dirsch, J. Böttger, R. Gebhardt, D. Drasdo, J. G. Hengstler.

    Protocols for staining of bile canalicular and sinusoidal networks of human, mouse and pig livers, three-dimensional reconstruction and quantification of tissue microarchitecture by image processing and analysis., in: Archives of Toxicology, May 2014, vol. 88, no 5, pp. 1161-1183. [ DOI : 10.1007/s00204-014-1243-5 ]

    https://hal.inria.fr/hal-01110657
  • 76S. Hoehme, M. Brulport, A. Bauer, E. Bedawy, W. Schormann, M. Hermes, V. Puppe, R. Gebhardt, S. Zellmer, M. Schwarz, E. Bockamp, T. Timmel, J. G. Hengstler, D. Drasdo.

    Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration, in: Proceedings of the National Academy of Sciences, 2010, vol. 107, no 23, pp. 10371–10376.
  • 77P.-E. Jabin, G. Raoul.

    On selection dynamics for competitive interactions, in: Journal of Mathematical Biology, Oct 2010, vol. 63, no 3, pp. 493–517.

    http://dx.doi.org/10.1007/s00285-010-0370-8
  • 78T. Lorenzi, R. H. Chisholm, A. Lorz.

    Effects of an advection term in nonlocal Lotka-Volterra equations, December 2015.

    https://hal.archives-ouvertes.fr/hal-01237529
  • 79A. Lorz, T. Lorenzi, J. Clairambault, A. Escargueil, B. Perthame.

    Modeling the effects of space structure and combination therapies on phenotypic heterogeneity and drug resistance in solid tumors, in: Bulletin of Mathematical Biology, January 2015, vol. 77, no 1, pp. 1-22. [ DOI : 10.1007/s11538-014-0046-4 ]

    http://hal.upmc.fr/hal-00921266
  • 80A. Lorz, T. Lorenzi, M. E. Hochberg, J. Clairambault, B. Perthame.

    Populational adaptive evolution, chemotherapeutic resistance and multiple anti-cancer therapies, in: ESAIM: Mathematical Modelling and Numerical Analysis, March 2013, 23 p. [ DOI : 10.1051/m2an/2012031 ]

    https://hal.archives-ouvertes.fr/hal-00714274
  • 81A. Lorz, S. Mirrahimi, B. Perthame.

    Dirac mass dynamics in a multidimensional nonlocal parabolic equation, in: Communications in Partial Differential Equations, 2011, vol. 36, pp. 1071-1098. [ DOI : 10.1080/03605302.2010.538784 ]

    https://hal.archives-ouvertes.fr/hal-00533693
  • 82S. Mirrahimi, B. Perthame, J. Y. Wakano.

    Evolution of species trait through resource competition, in: Journal of Mathematical Biology, June 2012, vol. 64, no 7, pp. 1189-1223, 28 pages. [ DOI : 10.1007/s00285-011-0447-z ]

    https://hal.archives-ouvertes.fr/hal-00566888
  • 83S. Mischler, J. Scher.

    Spectral analysis of semigroups and growth-fragmentation equations, October 2013, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-00877870
  • 84C. Pouchol.

    Modelling interactions between tumour cells and supporting adipocytes in breast cancer, UPMC, September 2015.

    https://hal.inria.fr/hal-01252122
  • 85M. Radszuweit, M. Block, J. G. Hengstler, E. Schöll, D. Drasdo.

    Comparing the growth kinetics of cell populations in two and three dimensions, in: Phys. Rev. E, May 2009, vol. 79, 051907.

    http://link.aps.org/doi/10.1103/PhysRevE.79.051907
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