Personnel
Overall Objectives
Research Program
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
A. Armiento.
Inverse problems and data assimilation methods applied to protein polymerisation, Université Paris 7 - Diderot, January 2017.
https://hal.inria.fr/tel-01447286

Articles in International Peer-Reviewed Journals

[2]
A. Armiento, P. Moireau, D. Martin, N. Lepejova, M. Doumic, H. Rezaei.
The mechanism of monomer transfer between two structurally distinct PrP oligomers, in: PLoS ONE, July 2017, vol. 12, no 7. [ DOI : 10.1371/journal.pone.0180538 ]
https://hal.archives-ouvertes.fr/hal-01574346
[3]
H. T. Banks, M. Doumic-Jauffret, C. Kruse.
A numerical scheme for the early steps of nucleation-aggregation Models, in: Journal of Mathematical Biology, January 2017, vol. 74, no 1-2, pp. 259-287. [ DOI : 10.1007/s00285-016-1026-0 ]
https://hal.inria.fr/hal-00954437
[4]
A. A. Bhaya, P.-A. A. Bliman, G. Niedu, F. A. Pazos.
A cooperative conjugate gradient method for linear systems permitting efficient multi-thread implementation, in: Computational and Applied Mathematics, 2017, pp. 1–28. [ DOI : 10.1007/s40314-016-0416-7 ]
https://hal.inria.fr/hal-01558765
[5]
P.-A. Bliman, M. S. Aronna, F. C. Coelho, M. A. H. B. da Silva.
Ensuring successful introduction of Wolbachia in natural populations of Aedes aegypti by means of feedback control, in: Journal of Mathematical Biology, August 2017. [ DOI : 10.1007/s00285-017-1174-x ]
https://hal.inria.fr/hal-01579477
[6]
P.-A. Bliman, N. Vauchelet.
Establishing Traveling Wave in Bistable Reaction-Diffusion System by Feedback, in: IEEE Control Systems Letters, 2017, vol. 1, no 1, pp. 62 - 67. [ DOI : 10.1109/LCSYS.2017.2703303 ]
https://hal.inria.fr/hal-01558631
[7]
P. O. Bucur, M. Bekheit, C. Audebert, A. Othman, S. Hammad, M. Sebagh, M. A. Allard, B. Decante, A. Friebel, D. Drasdo, E. Miquelestorena-Standley, J. G. Hengstler, I. Vignon-Clementel, E. Vibert.
Modulating Portal Hemodynamics With Vascular Ring Allows Efficient Regeneration After Partial Hepatectomy in a Porcine Model., in: Annals of Surgery, February 2017. [ DOI : 10.1097/SLA.0000000000002146 ]
https://hal.archives-ouvertes.fr/hal-01494844
[8]
M. Burger, A. Lorz, M.-T. Wolfram.
Balanced Growth Path Solutions of a Boltzmann Mean Field Game Model for Knowledge Growth, in: Kinetic and Related Models , March 2017, https://arxiv.org/abs/1602.01423. [ DOI : 10.3934/krm.2017005 ]
https://hal.archives-ouvertes.fr/hal-01267078
[9]
J. Clairambault, B. Perthame, A. Quillas Maran.
Analysis of a system describing proliferative-quiescent cell dynamics, in: Chinese Annals of Mathematics - Series B, 2018, pp. 1-13.
http://hal.upmc.fr/hal-01674142
[10]
M. Doumic, B. Perthame, E. Ribes, D. Salort, N. Toubiana.
Toward an integrated workforce planning framework using structured equations, in: European Journal of Operational Research, April 2017, vol. 262, https://arxiv.org/abs/1607.02349. [ DOI : 10.1016/j.ejor.2017.03.076 ]
https://hal.inria.fr/hal-01343368
[11]
J. Elias.
Positive effect of Mdm2 on p53 expression explains excitability of p53 in response to DNA damage, in: Journal of Theoretical Biology, April 2017, vol. 418, pp. 94-104, 1 year long embargo for free article distribution. [ DOI : 10.1016/j.jtbi.2017.01.038 ]
https://hal.inria.fr/hal-01443268
[12]
C. Emako, J. Liao, N. Vauchelet.
Synchronising and non-synchronising dynamics for a two-species aggregation model, in: Discrete and Continuous Dynamical Systems - Series B (DCDS-B), August 2017, vol. 22, no 6, pp. 2121 - 2146, https://arxiv.org/abs/1505.07659. [ DOI : 10.3934/dcdsb.2017088 ]
https://hal.archives-ouvertes.fr/hal-01157578
[13]
S. 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://arxiv.org/abs/1606.06842.
https://hal.inria.fr/hal-01378596
[14]
A. Goldman, M. Kohandel, J. Clairambault.
Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 1: Biological Facts and Studies in Drug Resistance, in: Current Stem Cell Reports, August 2017. [ DOI : 10.1007/s40778-017-0097-1 ]
https://hal.inria.fr/hal-01558477
[15]
A. Goldman, M. Kohandel, J. Clairambault.
Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: From Theoretical Biology to Mathematical Models, in: Current Stem Cell Reports, August 2017. [ DOI : 10.1007/s40778-017-0098-0 ]
https://hal.inria.fr/hal-01558479
[16]
C. Jourdana, P. Pietra, N. Vauchelet.
Hybrid coupling of a one-dimensional Energy-Transport Schrödinger system, in: Monatshefte für Mathematik, December 2017, vol. 184, no 4, pp. 563–596. [ DOI : 10.1007/s00605-016-1008-8 ]
https://hal.archives-ouvertes.fr/hal-01052415
[17]
T. 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
[18]
A. Lorz, B. Perthame, C. Taing.
Dirac concentrations in a chemostat model of adaptive evolution, in: Chinese Annals of Mathematics - Series B, March 2017.
http://hal.upmc.fr/hal-01255449
[19]
A. Mellet, B. Perthame, F. Quiros.
A Hele-Shaw Problem for Tumor Growth, in: Journal of Functional Analysis, 2017, vol. 273, pp. 3061-3093, https://arxiv.org/abs/1512.06995.
http://hal.upmc.fr/hal-01241309
[20]
H. Moundoyi, A. Moussa, B. Perthame, B. Sarels.
Analytical examples of diffusive waves generated by a traveling wave, in: Applicable Analysis, April 2017. [ DOI : 10.1080/00036811.2017.1314463 ]
http://hal.upmc.fr/hal-01404972
[21]
A. Olivier.
How does variability in cells aging and growth rates influence the malthus parameter?, in: Kinetic and Related Models , June 2017, vol. 10, no 2, pp. 481-512, https://arxiv.org/abs/1602.06970. [ DOI : 10.3934/krm.2017019 ]
https://hal.archives-ouvertes.fr/hal-01274529
[22]
N. 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://arxiv.org/abs/1610.03290.
https://hal.archives-ouvertes.fr/hal-01378301
[23]
B. Perthame, D. Salort, G. Wainrib.
Distributed synaptic weights in a LIF neural network and learning rules, in: Physica D: Nonlinear Phenomena, 2017, vol. 353-354, pp. 20-30, https://arxiv.org/abs/1706.05796. [ DOI : 10.1016/j.physd.2017.05.005 ]
http://hal.upmc.fr/hal-01541093
[24]
C. 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, in: Journal de Mathématiques Pures et Appliquées, October 2017, https://arxiv.org/abs/1612.04698. [ DOI : 10.1016/j.matpur.2017.10.007 ]
https://hal.archives-ouvertes.fr/hal-01673589
[25]
Y. 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, in: IEEE Transactions on Medical Imaging, 2017. [ DOI : 10.1109/TMI.2017.2698525 ]
https://hal.inria.fr/hal-01421398

International Conferences with Proceedings

[26]
W. Djema, C. Bonnet, J. Clairambault, F. Mazenc, P. Hirsch, F. Delhommeau.
Analysis of a Model of Dormancy in Cancer as a State of Coexistence Between Tumor and Healthy Stem Cells, in: ACC 2017 - American Control Conference, Seattle, United States, IEEE, May 2017, pp. 5135-5140. [ DOI : 10.23919/ACC.2017.7963751 ]
https://hal.inria.fr/hal-01677927
[27]
W. Djema, H. Özbay, C. Bonnet, E. Fridman, F. Mazenc, J. Clairambault.
Analysis of Blood Cell Production under Growth Factors Switching, in: IFAC 2017 - 20th World Congress of the International Federation of Automatic Control, Toulouse, France, Elsevier, July 2017, vol. 50, no 1, pp. 13312-13317. [ DOI : 10.1016/j.ifacol.2017.08.1331 ]
https://hal.inria.fr/hal-01677914

Scientific Books (or Scientific Book chapters)

[28]
F. Bertaux, D. Drasdo, G. Batt.
System modeling of receptor-induced apoptosis, in: TRAIL, Fas Ligand, TNF and TLR3 in Cancer, O. Micheau (editor), Resistance to Targeted Anti-Cancer Therapeutics, 2017, no 12, https://arxiv.org/abs/1712.06822.
https://hal.inria.fr/hal-01667015
[29]
P.-A. Bliman, B. D 'Avila Barros.
Interval Observers for SIR Epidemic Models Subject to Uncertain Seasonality, in: Lecture Notes in Control and Information Sciences, 2017, vol. 471, 9 p. [ DOI : 10.1007/978-3-319-54211-9_3 ]
https://hal.inria.fr/hal-01567474

Other Publications

[30]
L. Almeida, R. H. Chisholm †, J. Clairambault, T. Lorenzi, A. Lorz, C. Pouchol, E. Trélat.
Why is evolution important in cancer and what mathematics should be used to treat cancer? focus on drug resistance, October 2017, Conference Biomat 2017 - 17th International Symposium on Mathematical and Computational Biology.
https://hal.inria.fr/hal-01618357
[31]
M. S. Aronna, P.-A. Bliman.
Interval observer for uncertain time-varying SIR-SI epidemiological model of vector-borne disease, March 2017, https://arxiv.org/abs/1703.07083 - working paper or preprint.
https://hal.inria.fr/hal-01493078
[32]
P.-A. Bliman, N. Vauchelet.
Establishing Traveling Wave in Bistable Reaction-Diffusion System by Feedback, May 2017, https://arxiv.org/abs/1703.00672 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01480833
[33]
J. Calvo, M. Doumic, B. Perthame.
Long-time asymptotics for polymerization models, July 2017, https://arxiv.org/abs/1707.09777 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01570292
[34]
M. Doumic.
Simulation of the critical fragmentation equation with binary fission, April 2017, Linked to the preprint hal-01510960.
https://hal.archives-ouvertes.fr/medihal-01510970
[35]
M. Doumic, M. Escobedo, M. Tournus.
Estimating the division rate and kernel in the fragmentation equation, April 2017, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01501811
[36]
M. Doumic, M. Mezache, B. Perthame, E. Ribes, D. Salort.
Strategic Workforce Planning and sales force : a demographic approach to productivity, February 2017, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01449812
[37]
M. Doumic, B. Van Brunt.
Explicit Solution and Fine Asymptotics for a Critical Growth-Fragmentation Equation, April 2017, https://arxiv.org/abs/1704.06087 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01510960
[38]
J. Elias.
Trend to equilibrium for a reaction-diffusion system modelling reversible enzyme reaction, January 2017, https://arxiv.org/abs/1610.07172 - 20 pages.
https://hal.inria.fr/hal-01443266
[39]
J. Favre.
Design and identification on biological data of a dedicated model of the interactions between haematopoietic stem/progenitor cells and supporting stroma, Ecole Polytechnique Fédérale de Lausanne (EPFL) ; Inria Paris Research Centre, MAMBA Team, F-75012, Paris, France ; Sorbonne Universités, UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris, France ; CNRS, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris, France, March 2017.
https://hal.inria.fr/hal-01500920
[40]
C. Henderson, B. Perthame, P. E. Souganidis.
Super-linear propagation for a general, local cane toads model, May 2017, https://arxiv.org/abs/1705.04029 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01520145
[41]
G. Nadin, M. Strugarek, N. Vauchelet.
Hindrances to bistable front propagation: application to Wolbachia invasion, January 2017, https://arxiv.org/abs/1701.05381 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01442291
[42]
S. Nordmann, B. Perthame, C. Taing.
Dynamics of concentration in a population model structured by age and a phenotypical trait, March 2017, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01493068
[43]
A. Olivier, C. Pouchol.
Combination of direct methods and homotopy in numerical optimal control: application to the optimization of chemotherapy in cancer, January 2018, https://arxiv.org/abs/1707.08038 - working paper or preprint.
https://hal-auf.archives-ouvertes.fr/hal-01568779
[44]
B. Perthame, E. Ribes, D. Salort.
Career plans and wage structures: a mean field game approach, January 2018, working paper or preprint.
http://hal.upmc.fr/hal-01674630
[45]
B. Perthame, W. Sun, M. Tang.
The fractional diffusion limit of a kinetic model with biochemical pathway, September 2017, https://arxiv.org/abs/1709.03308 - working paper or preprint.
http://hal.upmc.fr/hal-01584754
[46]
B. Perthame, N. Vauchelet, Z. Wang.
The Flux Limited Keller-Segel System; Properties and Derivation from Kinetic Equations, January 2018, https://arxiv.org/abs/1801.07062 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01689571
[47]
B. Perthame, S. Yasuda.
Stiff-response-induced instability for chemotactic bacteria and flux-limited Keller-Segel equation, January 2018, https://arxiv.org/abs/1703.08386 - working paper or preprint.
http://hal.upmc.fr/hal-01494963
[48]
C. Pouchol.
On the stability of the state 1 in the non-local Fisher-KPP equation in bounded domains, January 2018, https://arxiv.org/abs/1801.05653 - working paper or preprint.
http://hal.upmc.fr/hal-01686461
[49]
C. Pouchol, E. Trélat.
Global stability with selection in integro-differential Lotka-Volterra systems modelling trait-structured populations, April 2017, https://arxiv.org/abs/1702.06187 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01470722
[50]
M. Strugarek, L. Dufour, N. Vauchelet, L. Almeida, B. Perthame, D. A. M. Villela.
Oscillatory regimes in a mosquito population model with larval feedback on egg hatching, January 2018, https://arxiv.org/abs/1801.03701 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01674280
References in notes
[51]
L. Almeida, C. Emako, N. Vauchelet.
Existence and diffusive limit of a two-species kinetic model of chemotaxis, in: Kinetic and Related Models , June 2015. [ DOI : 10.3934/krm.2015.8.359 ]
https://hal.archives-ouvertes.fr/hal-00980594
[52]
A. 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
[53]
J. L. Avila Alonso, C. Bonnet, J. Clairambault, H. Ozbay, S.-I. Niculescu, F. Merhi, A. Ballesta, R. Tang, J.-P. Marie.
Analysis of a New Model of Cell Population Dynamics in Acute Myeloid Leukemia, in: Delay Systems : From Theory to Numerics and Applications, T. Vyhlídal, J.-F. Lafay, R. Sipahi (editors), Advances in Delays and Dynamics, Springer, January 2014, vol. 1, pp. 315-328. [ DOI : 10.1007/978-3-319-01695-5_23 ]
https://hal.inria.fr/hal-00932779
[54]
J. L. Avila Alonso, C. Bonnet, E. Fridman, F. Mazenc, J. Clairambault.
Stability analysis of PDE's modelling cell dynamics in Acute Myeloid Leukemia, in: 53rd IEEE Conference on Decision and Control, Los Angeles, United States, December 2014.
https://hal.inria.fr/hal-01110304
[55]
J. L. Avila Alonso, C. Bonnet, H. Ozbay, J. Clairambault, S.-I. Niculescu.
A coupled model for healthy and cancer cells dynamics in Acute Myeloid Leukemia, in: The 19th World Congress of the International Federation of Automatic Control, Cape Town, Souh Africa, August 2014.
https://hal.inria.fr/hal-00940245
[56]
J. L. Avila Alonso, C. Bonnet, H. Ozbay, J. Clairambault, S.-I. Niculescu.
A discrete-maturity Interconnected Model of Healthy and Cancer Cell Dynamics in Acute Myeloid Leukemia, in: Mathematical Theory of Networks and Systems, Groningen, Netherlands, July 2014.
https://hal.inria.fr/hal-00940305
[57]
H. 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
[58]
H. T. Banks, M. Doumic-Jauffret, C. Kruse.
A numerical scheme for the early steps of nucleation-aggregation Models, in: Journal of Mathematical Biology, January 2017, vol. 74, no 1-2, pp. 259-287. [ DOI : 10.1007/s00285-016-1026-0 ]
https://hal.inria.fr/hal-00954437
[59]
F. Bekkal Brikci, J. Clairambault, B. Perthame.
Analysis of a molecular structured population model with possible polynomial growth for the cell division cycle, in: Math. Comput. Modelling, 2008, vol. 47, no 7-8, pp. 699–713.
[60]
F. 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
[61]
F. 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
[62]
J. Bertoin, A. R. Watson.
Probabilistic aspects of critical growth-fragmentation equations, in: Advances in Applied Probability, 9 2015.
[63]
P.-A. Bliman, M. S. Aronna, F. C. Coelho, M. Da Silva.
Global stabilizing feedback law for a problem of biological control of mosquito-borne diseases, in: 54th IEEE Conference on Decision and Control, Osaka, Japan, Proc. of the 54th IEEE Conference on Decision and Control, December 2015.
https://hal.inria.fr/hal-01261162
[64]
C. Bonnet, J. L. Avila Alonso, H. Ozbay, J. Clairambault, S.-I. Niculescu, P. Hirsch.
A Discrete-Maturity Interconnected Model of Healthy and Cancer Cell Dynamics in Acute Myeloid Leukemia, in: The 10th AIMS Conference on Dynamical Systems,Differential Equations and Applications, Madrid, Spain, July 2014.
https://hal.inria.fr/hal-01110309
[65]
T. 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
[66]
T. 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
[67]
M. J. Caceres, B. Perthame.
Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity, in: Journal of Theoretical Biology, 2014, vol. 350, pp. 81-89. [ DOI : 10.1016/j.jtbi.2014.02.005 ]
http://hal.upmc.fr/hal-00874746
[68]
V. Calvez, M. Doumic, P. Gabriel.
Self-similarity in a general aggregation–fragmentation problem. Application to fitness analysis, in: Journal de Mathématiques Pures et Appliquées, 2012, vol. 98, no 1, pp. 1 - 27. [ DOI : 10.1016/j.matpur.2012.01.004 ]
http://www.sciencedirect.com/science/article/pii/S002178241200013X
[69]
V. Calvez, N. Lenuzza, M. Doumic, J.-P. Deslys, F. Mouthon, B. Perthame.
Prion dynamic with size dependency - strain phenomena, in: J. of Biol. Dyn., 2010, vol. 4, no 1, pp. 28–42.
[70]
J. 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
[71]
G. Cellière.
Multi-scale modeling of hepatic drug toxicity and its consequences on ammonia detoxification, Université Paris 6 - Pierre et Marie Curie, July 2017.
[72]
J. 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, 2669 p. [ DOI : 10.1142/S021820251550058X ]
http://hal.upmc.fr/hal-01159215
[73]
R. H. Chisholm, T. Lorenzi, J. Clairambault.
Cell population heterogeneity and evolution towards drug resistance in cancer: Biological and mathematical assessment, theoretical treatment optimisation, in: BBA - General Subjects, June 2016, vol. 1860, pp. 2627 - 2645. [ DOI : 10.1016/j.bbagen.2016.06.009 ]
https://hal.inria.fr/hal-01321535
[74]
R. 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
[75]
J. 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. [ DOI : 10.1051/mmnp/201611604 ]
https://hal.inria.fr/hal-01413791
[76]
W. Djema, F. Mazenc, C. Bonnet, J. Clairambault, P. Hirsch, F. Delhommeau.
Stability of a Delay System Coupled to a 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
[77]
M. 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
[78]
M. 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
[79]
M. Doumic, P. Gabriel.
Eigenelements of a General Aggregation-Fragmentation Model, in: Mathematical Models and Methods in Applied Sciences, 2009, vol. 20, no 05, 757 p.
http://arxiv.org/abs/0907.5467
[80]
M. 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
[81]
M. Doumic, B. Perthame, J. Zubelli.
Numerical Solution of an Inverse Problem in Size-Structured Population Dynamics, in: Inverse Problems, 2009, vol. 25, no 4, 045008 p.
[82]
D. 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
[83]
J. Elias, J. Clairambault.
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Study of two-species chemotaxis models, Université Pierre et Marie Curie - Paris VI, March 2016.
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Quantifying the Survival Uncertainty of Wolbachia-infected Mosquitoes in a Spatial Model *, August 2016, working paper or preprint.
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Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results, in: Computational Particle Mechanics, Nov 2015, vol. 2, no 4, pp. 401–444.
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