EN FR
EN FR


previous Previous | up Home


Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 4H. T. Banks, M. Doumic, C. Kruse, S. Prigent, H. Rezaei.

    Information Content in Data Sets for a Nucleated-Polymerization Model, in: Journal of Biological Dynamics, June 2015, vol. 9, no 1, 26 p. [ DOI : 10.1080/17513758.2015.1050465 ]

    https://hal.inria.fr/hal-01123847
  • 5L. Boudin, C. Grandmont, A. Lorz, A. Moussa.

    Modelling and numerics for respiratory aerosols, in: Communications in Computational Physics, September 2015, vol. 18, no 3, pp. 723-756. [ DOI : 10.4208/cicp.180714.200415a ]

    https://hal.archives-ouvertes.fr/hal-01044590
  • 6A.-C. Boulanger, P. Moireau, B. Perthame, J. Sainte-Marie.

    Data Assimilation for hyperbolic conservation laws. A Luenberger observer approach based on a kinetic description, in: Communications in Mathematical Sciences, March 2015, vol. 13, no 3, pp. 587 – 622. [ DOI : 10.4310/CMS.2015.v13.n3.a1 ]

    https://hal.archives-ouvertes.fr/hal-00924559
  • 7T. 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, no 15326, pp. 1-11. [ DOI : 10.1038/srep15326 ]

    https://hal.archives-ouvertes.fr/hal-01225251
  • 8J. 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
  • 9J. Carrillo, B. Perthame, D. Salort, D. Smets.

    Qualitative Properties of Solutions for the Noisy Integrate & Fire model in Computational Neuroscience, in: Nonlinearity, August 2015, vol. 28, no 9. [ DOI : 10.1088/0951-7715/28/9/3365 ]

    https://hal.archives-ouvertes.fr/hal-01079381
  • 10J. Chevallier, M. J. Caceres, M. Doumic, P. Reynaud-Bouret.

    Microscopic approach of a time elapsed neural model, in: Mathematical Models and Methods in Applied Sciences, December 2015. [ DOI : 10.1142/S021820251550058X ]

    http://hal.upmc.fr/hal-01159215
  • 11R. H. Chisholm, T. Lorenzi, A. Lorz, A. K. Larsen, L. N. de 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, March 2015, vol. 75, no 6, pp. 930-939. [ DOI : 10.1158/0008-5472.CAN-14-2103 ]

    https://hal.inria.fr/hal-01237893
  • 12L. 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. [ DOI : 10.1016/j.pbiomolbio.2014.11.005 ]

    https://hal.inria.fr/hal-01257160
  • 13M. Doumic, M. Hoffmann, N. Krell, L. Robert.

    Statistical estimation of a growth-fragmentation model observed on a genealogical tree, in: Bernoulli, 2015, vol. 21, no 3, pp. 1760-1799, 46 pages, 4 figures.

    https://hal.archives-ouvertes.fr/hal-01102799
  • 14A. Friebel, J. Neitsch, T. Johann, S. Hammad, D. Drasdo, S. Hoehme.

    TiQuant: software for tissue analysis, quantification and surface reconstruction, in: Bioinformatics, June 2015. [ DOI : 10.1093/bioinformatics/btv346 ]

    https://hal.inria.fr/hal-01257137
  • 15A. Ghallab, G. Celliere, 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. [ DOI : 10.1016/j.jhep.2015.11.018 ]

    https://hal.archives-ouvertes.fr/hal-01257127
  • 16J. Haskovec, P. Markowich, B. Perthame.

    Mathematical Analysis of a System for Biological Network Formation, in: Communications in Partial Differential Equations, May 2015, vol. 40, no 5, pp. 918-956. [ DOI : 10.1080/03605302.2014.968792 ]

    http://hal.upmc.fr/hal-00998344
  • 17N. Jagiella, B. Müller, M. Müller, I. 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.

    https://hal.inria.fr/hal-01244593
  • 18F. James, N. Vauchelet.

    Numerical methods for one-dimensional aggregation equations, in: SIAM Journal on Numerical Analysis, 2015, vol. 53, no 2, pp. 895-916. [ DOI : 10.1137/140959997 ]

    https://hal.archives-ouvertes.fr/hal-00955971
  • 19M.-J. Kang, B. Perthame, D. Salort.

    Dynamics of time elapsed inhomogeneous neuron network model, in: Comptes Rendus Mathématique, September 2015, no 353, pp. 1111-1115. [ DOI : 10.1016/j.crma.2015.09.029 ]

    http://hal.upmc.fr/hal-01241300
  • 20M. Kolwalczyk, B. Perthame, N. Vauchelet.

    Transversal instability for the thermodiffusive reaction-diffusion system, in: Chinese Annals of Mathematics - Series B, 2015, vol. 36, no 5, pp. 871-882, 13 pages.

    https://hal.archives-ouvertes.fr/hal-00939013
  • 21T. Lorenzi, R. H. Chisholm, L. Desvillettes, B. D. Hughes.

    Dissecting the dynamics of epigenetic changes in phenotype-structured populations exposed to fluctuating environments, in: Journal of Theoretical Biology, September 2015, vol. 386, pp. 166-176. [ DOI : 10.1016/j.jtbi.2015.08.031 ]

    https://hal.inria.fr/hal-01237890
  • 22T. Lorenzi, R. H. Chisholm, M. Melensi, A. Lorz, M. Delitala.

    Mathematical model reveals how regulating the three phases of T-cell response could counteract immune evasion, in: Immunology, December 2015, vol. 146, no 2, pp. 271-280. [ DOI : 10.1111/imm.12500 ]

    https://hal.inria.fr/hal-01237852
  • 23A. 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
  • 24B. Müller, M. Bovet, Y. Yin, D. Stiche, M. Malz, M. González-Vallinas, A. Middleton, V. Ehemann, J. Schmitt, T. Muley, M. Meister, E. Herpel, S. Singer, A. Warth, P. Schirmacher, D. Drasdo, F. Matthäus, K. Breuhahn.

    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, in: Journal of Pathology, September 2015. [ DOI : 10.1002/path.4588 ]

    https://hal.inria.fr/hal-01256752
  • 25B. Perthame, C. Quiñinao, J. Touboul.

    Competition and boundary formation in heterogeneous media: Application to neuronal differentiation, in: Mathematical Models and Methods in Applied Sciences (M3AS), 2015, vol. 25, no 13, pp. 2477–2502. [ DOI : 10.1142/S0218202515400151 ]

    https://hal.archives-ouvertes.fr/hal-01054813
  • 26B. Perthame, N. Vauchelet.

    Incompressible limit of mechanical model of tumor growth with viscosity, in: Philosophical transactions of the Royal Society of London. Series A: Mathematical and physical sciences, 2015, vol. 373, 20140283 p, 16 pages.

    https://hal.archives-ouvertes.fr/hal-01066494
  • 27A. Ravasio, I. CHEDDADI, T. Chen, T. Pereira, H. T. Ong, C. Bertocchi, A. Brugues, A. Jacinto, A. J. Kabla, Y. Toyama, X. Trepat, N. Gov, L. Neves de Almeida, B. Ladoux.

    Gap geometry dictates epithelial closure efficiency, in: Nature Communications, July 2015, vol. 6. [ DOI : 10.1038/ncomms8683 ]

    https://hal.archives-ouvertes.fr/hal-01245750
  • 28C. J. Torney, T. Lorenzi, I. D. Couzin, S. A. Levin.

    Social information use and the evolution of unresponsiveness in collective systems, in: Journal of the Royal Society Interface, February 2015. [ DOI : 10.1098/rsif.2014.0893 ]

    https://hal.inria.fr/hal-01237894
  • 29P. Van Liedekerke, M. Palm, N. Jagiella, D. Drasdo.

    Simulating tissue mechanics with Agent Based Models: concepts and perspectives, in: Computational Particle Mechanics, November 2015, vol. 2, no 4.

    https://hal.inria.fr/hal-01220539
  • 30S. R. K. Vedula, G. Peyret, I. CHEDDADI, T. Chen, A. Brugués, H. Hirata, H. Lopez-Menendez, Y. Toyama, L. N. de Almeida, X. Trepat, C. T. Lim, B. Ladoux.

    Mechanics of epithelial closure over non-adherent environments, in: Nature Communications, January 2015, vol. 6, Article number: 6111. [ DOI : 10.1038/ncomms7111 ]

    https://hal.archives-ouvertes.fr/hal-01218402

International Conferences with Proceedings

  • 31L. Almeida, R. Chisholm, J. Clairambault, A. Escargueil, T. Lorenzi, A. Lorz, E. Trélat.

    Phenotype heterogeneity in cancer cell populations, in: ICNAAM 2015 Session 70: "Mathematical models and methods to investigate heterogeneity in cell and cell population biology”, Rhodes, Greece, Jean Clairambault, September 2015.

    https://hal.inria.fr/hal-01249242
  • 32L. Barbarroux, J. Clairambault, N. Cogan, J. Eliaš, S. Hanson, M. Kimmel, T. Lorenzi.

    Preface to Session 70 " Mathematical models and methods to investigate heterogeneity in cell and cell population biology ", in: ICNAAM 2015 Session 70: "Mathematical models and methods to investigate heterogeneity in cell and cell population biology”, Rhodes, Greece, Organiser Session 70: Jean Clairambault , September 2015.

    https://hal.inria.fr/hal-01249244
  • 33J. Clairambault, J. Eliaš.

    Diverse spatio-temporal dynamical patterns of p53 and cell fate decisions, in: ICNAAM 2015 Session 70: "Mathematical models and methods to investigate heterogeneity in cell and cell population biology”, Rhodes, Greece, Jean Clairambault, September 2015, 4 p.

    https://hal.archives-ouvertes.fr/hal-01246826
  • 34T. Lorenzi, R. H. Chisholm, A. Lorz, A. K. Larsen, L. Neves de Almeida, A. Escargueil, J. Clairambault.

    Emergence of cytotoxic resistance in cancer cell populations, in: Workshop on Multiscale and Hybrid Modelling in Cell and Cell Population Biology, Paris, France, V. Volpert and J. Clairambault, March 2015. [ DOI : 10.1051/itmconf/20150500009 ]

    https://hal.inria.fr/hal-01249235
  • 35T. Lorenzi, R. H. Chisholm, A. Lorz, A. K. Larsen, L. Neves de Almeida, A. Escargueil, J. Clairambault.

    Emergence of cytotoxic resistance in cancer cell populations: single-cell mechanisms and population-level consequences, in: ICNAAM 2015 Session 70: "Mathematical models and methods to investigate heterogeneity in cell and cell population biology", Rhodes, Greece, Jean Clairambault, September 2015.

    https://hal.inria.fr/hal-01249239

Scientific Popularization

  • 36J. Clairambault.

    My Personal Journey In Mathematical Biology & Medicine, in: Society of Mathematical Biology Newsletter, January 2015, vol. 28, no 1, 2 p.

    https://hal.inria.fr/hal-01109000

Other Publications

  • 37A. Armiento, M. Doumic, P. Moireau, H. Rezaei.

    Estimation from Moments Measurements for Amyloid Degradation, December 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01248255
  • 38S. V. Bitseki Penda, A. Olivier.

    Autoregressive Functions Estimation in Nonlinear Bifurcating Autoregressive Models, June 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01159255
  • 39T. Bourgeron, C. Conca, R. Lecaros.

    Determining the distribution of calcium channels in the olfactory system, March 2015, working paper or preprint.

    https://hal.inria.fr/hal-01132095
  • 40M. Burger, A. Lorz, M.-T. Wolfram.

    On a Boltzmann mean field model for knowledge growth, June 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01163491
  • 41R. H. Chisholm, T. Lorenzi, A. Lorz, A. K. Larsen, L. Almeida, A. Escargueil, J. Clairambault.

    Emergence of drug tolerance in cancer cell populations: an evolutionary outcome of selection, non-genetic instability and stress-induced adaptation, January 2015, First submitted version.

    https://hal.archives-ouvertes.fr/hal-01111271
  • 42B. Després, B. Perthame.

    Uncertainty propagation;intrusive kinetic formulations of scalar conservation laws, 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01146188
  • 43M. Doumic, M. Escobedo.

    Time Asymptotics for a Critical Case in Fragmentation and Growth-Fragmentation Equations, January 2015, working paper or preprint.

    https://hal.inria.fr/hal-01080361
  • 44S. Eugene, W.-F. Xue, P. Robert, M. Doumic.

    Insights into the variability of nucleated amyloid polymerization by a minimalistic model of stochastic protein assembly, September 2015, working paper or preprint.

    https://hal.inria.fr/hal-01205549
  • 45J. Haskovec, P. Markowich, B. Perthame, M. Schlottbom.

    Notes on a PDE System for Biological Network Formation, October 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01232080
  • 46M. 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
  • 47I. C. Kim, B. Perthame, P. E. Souganidis.

    Free boundary problems for tumor growth: a viscosity solutions approach, May 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01155696
  • 48T. 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
  • 49T. Lorenzi, A. Lorz, B. Perthame.

    On interfaces between two cell populations with different mobilities and proliferation rates, January 2016, working paper or preprint.

    https://hal.inria.fr/hal-01257180
  • 50A. Lorz, B. Perthame, C. Taing.

    Dirac concentrations in a chemostat model of adaptive evolution, October 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01255449
  • 51A. Mellet, B. Perthame, F. Quiros.

    A Hele-Shaw Problem for Tumor Growth, December 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01241309
  • 52S. K. Palaniappan, F. Bertaux, M. Pichene, E. Fabre, G. Batt, B. Genest.

    Approximating the dynamics of the Hybrid Stochastic-Deterministic Apoptosis pathway, CMSB 2015, 2015, CMSB 2015, Poster.

    https://hal.archives-ouvertes.fr/hal-01245034
  • 53B. Penda, M. Hoffmann, A. Olivier.

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

    https://hal.archives-ouvertes.fr/hal-01254200
  • 54B. Perthame, P. E. Souganidis.

    Rare mutations limit of a steady state dispersion trait model, August 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01149029
  • 55B. Perthame, M. Tang, N. Vauchelet.

    Derivation of the bacterial run-and-tumble kinetic equation from a model with biochemical pathway, March 2015, working paper or preprint.

    http://hal.upmc.fr/hal-01131101
  • 56C. Pouchol.

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

    https://hal.inria.fr/hal-01252122
References in notes
  • 57L. Almeida, P. Bagnerini, A. Habbal.

    Modeling actin cable contraction, in: Computer and mathematics with applications, 2012, vol. 64, no 3, pp. 310-321.

    https://hal.inria.fr/hal-00648724
  • 58L. Almeida, P. Bagnerini, A. Habbal, S. Noselli, F. Serman.

    A Mathematical Model for Dorsal Closure, in: Journal of Theoretical Biology, January 2011, vol. 268, no 1, pp. 105-119. [ DOI : 10.1016/j.jtbi.2010.09.029 ]

    https://hal.inria.fr/inria-00544350
  • 59F. 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
  • 60J. Bertoin, A. R. Watson.

    Probabilistic aspects of critical growth-fragmentation equations, in: ArXiv e-prints, June 2015.
  • 61F. 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
  • 62F. 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
  • 63F. 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
  • 64T. Bourgeron, M. Doumic, M. Escobedo.

    Estimating the division rate of the growth-fragmentation equation with a self-similar kernel, in: Inverse Problems, Jan 2014, vol. 30, no 2, 025007 p.

    http://dx.doi.org/10.1088/0266-5611/30/2/025007
  • 65V. 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
  • 66P. C. W. Davies, C. H. Lineweaver.

    Cancer tumors as Metazoa 1.0: tapping genes of ancient ancestors, in: Phys Biol, Feb 2011, vol. 8, no 1, 015001 p.

    http://dx.doi.org/10.1088/1478-3975/8/1/015001
  • 67M. 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
  • 68M. 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
  • 69M. 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
  • 70M. 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
  • 71M. 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
  • 72D. 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
  • 73D. 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
  • 74J. 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
  • 75S. 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.
  • 76S. Huang.

    The molecular and mathematical basis of Waddington's epigenetic landscape: a framework for post-Darwinian biology?, in: Bioessays, Feb 2012, vol. 34, no 2, pp. 149–157.

    http://dx.doi.org/10.1002/bies.201100031
  • 77S. Huang.

    Genetic and non-genetic instability in tumor progression: link between the fitness landscape and the epigenetic landscape of cancer cells, in: Cancer Metastasis Rev, Dec 2013, vol. 32, no 3-4, pp. 423–448.

    http://dx.doi.org/10.1007/s10555-013-9435-7
  • 78L. Israel.

    Tumour progression: random mutations or an integrated survival response to cellular stress conserved from unicellular organisms?, in: J Theor Biol, Feb 1996, vol. 178, no 4, pp. 375–380.

    http://dx.doi.org/10.1006/jtbi.1996.0033
  • 79C. H. Lineweaver, P. C. W. Davies, M. D. Vincent.

    Targeting cancer's weaknesses (not its strengths): Therapeutic strategies suggested by the atavistic model, in: Bioessays, Sep 2014, vol. 36, no 9, pp. 827–835.

    http://dx.doi.org/10.1002/bies.201400070
  • 80A. 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
  • 81A. 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
  • 82A. 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
  • 83S. 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
  • 84S. Mischler, J. Scher.

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

    https://hal.archives-ouvertes.fr/hal-00877870
  • 85A. O. Pisco, A. Brock, J. Zhou, A. Moor, M. Mojtahedi, D. Jackson, S. Huang.

    Non-Darwinian dynamics in therapy-induced cancer drug resistance, in: Nat Commun, 2013, vol. 4, 2467 p.

    http://dx.doi.org/10.1038/ncomms3467
  • 86A. O. Pisco, S. Huang.

    Non-genetic cancer cell plasticity and therapy-induced stemness in tumour relapse: 'What does not kill me strengthens me', in: Br J Cancer, May 2015, vol. 112, no 11, pp. 1725–1732.

    http://dx.doi.org/10.1038/bjc.2015.146
  • 87S. Prigent, A. Ballesta, F. Charles, N. Lenuzza, P. Gabriel, L. M. Tine, H. Rezaei, M. Doumic.

    An efficient kinetic model for assemblies of amyloid fibrils and its application to polyglutamine aggregation, in: PLoS ONE, 2012, vol. 7, no 11, e43273 p. [ DOI : 10.1371/journal.pone.0043273 ]

    https://hal.archives-ouvertes.fr/hal-00778052
  • 88M. 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
  • 89L. Robert, M. Hoffmann, N. Krell, S. Aymerich, J. Robert, M. Doumic.

    Division in Escherichia coli is triggered by a size-sensing rather than a timing mechanism, in: BMC Biology, 2014, vol. 12, no 1, 17 p. [ DOI : 10.1186/1741-7007-12-17 ]

    https://hal.inria.fr/hal-00981312
  • 90S. V. Sharma, D. Y. Lee, B. Li, M. P. Quinlan, F. Takahashi, S. Maheswaran, U. McDermott, N. Azizian, L. Zou, M. A. Fischbach, K.-K. Wong, K. Brandstetter, B. Wittner, S. Ramaswamy, M. Classon, J. Settleman.

    A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations, in: Cell, Apr 2010, vol. 141, no 1, pp. 69–80.

    http://dx.doi.org/10.1016/j.cell.2010.02.027
  • 91M. Tang, N. Vauchelet, I. Cheddadi, I. Vignon-Clementel, D. Drasdo, B. Perthame.

    Composite waves for a cell population system modelling tumor growth and invasion, in: Chinese Annals of Mathematics - Series B, 2013, vol. 34B, no 2, pp. 295-318. [ DOI : 10.1007/s11401-007-0001-x ]

    https://hal.archives-ouvertes.fr/hal-00685063
  • 92M. Vincent.

    Cancer: a de-repression of a default survival program common to all cells?: a life-history perspective on the nature of cancer, in: Bioessays, Jan 2012, vol. 34, no 1, pp. 72–82.

    http://dx.doi.org/10.1002/bies.201100049
  • 93O. Wolkenhauer, C. Auffray, O. Brass, J. Clairambault, A. Deutsch, D. Drasdo, F. Gervasio, L. Preziosi, P. MAINI, A. Marciniak-Czochra, C. Kossow, L. Kuepfer, K. Rateitschak, I. Ramis-Conde, B. Ribba, A. Schuppert, R. Smallwood, G. Stamatakos, F. Winter, H. Byrne.

    Enabling multiscale modeling in systems medicine: From reactions in cells to organ physiology, in: Genome Medicine, May 2014, vol. 6, no 21, 3 p.

    https://hal.inria.fr/hal-01109002
  • 94J. X. Zhou, M. D. S. Aliyu, E. Aurell, S. Huang.

    Quasi-potential landscape in complex multi-stable systems, in: Journal of The Royal Society Interface, Aug 2012, vol. 9, no 77, pp. 3539–3553.

    http://dx.doi.org/10.1098/rsif.2012.0434


previous Previous | up Home