Statistical Cooling : A General Approach to Combinatorial Optimization Problems, Philips Journal of Research, vol.40, pp.193-226, 1985. ,
Basic Immunology : Functions and Disorders of the Immune System, pp.85-86, 2014. ,
Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition, Journal of Immunological Methods, vol.376, issue.1-2, pp.55-68, 2012. ,
DOI : 10.1016/j.jim.2011.11.009
Modeling T Cell Antigen Discrimination Based on Feedback Control of Digital ERK Responses, PLoS Biology, vol.420, issue.11, pp.356-88, 2005. ,
DOI : 10.1371/journal.pbio.0030356.sd005
Cytotoxic T Cells, Journal of Investigative Dermatology, vol.126, issue.1, pp.32-41, 2006. ,
DOI : 10.1038/sj.jid.5700001
Computational modeling of cellular signaling processes embedded into dynamic spatial contexts, Nature Methods, vol.7, issue.3, pp.283-289, 2012. ,
DOI : 10.1016/j.jcp.2007.05.025
Models of CD8+ Responses: 1. What is the Antigen-independent Proliferation Program, Journal of Theoretical Biology, vol.221, issue.4, pp.585-598, 2003. ,
DOI : 10.1006/jtbi.2003.3208
The role of models in understanding CD8+ T-cell memory, Nature Reviews Immunology, vol.4, issue.2, pp.101-111, 2005. ,
DOI : 10.1038/nri1355
Lessons from the study of T-cell differentiation in persistent human virus infection, Seminars in Immunology, vol.16, issue.3, pp.205-212, 1922. ,
DOI : 10.1016/j.smim.2004.02.007
Early specification of CD8+ T lymphocyte fates during adaptive immunity revealed by single-cell gene-expression analyses, Nature Immunology, vol.9, issue.4, pp.365-372, 2014. ,
DOI : 10.1038/nprot.2009.9
Stromal Cell Networks Regulate Lymphocyte Entry, Migration, and Territoriality in Lymph Nodes, Immunity, vol.25, issue.6, pp.989-1001, 2006. ,
DOI : 10.1016/j.immuni.2006.10.011
URL : https://hal.archives-ouvertes.fr/hal-00316442
An enhanced agent based model of the immune system response, Cellular Immunology, vol.244, issue.2, pp.77-79, 2006. ,
DOI : 10.1016/j.cellimm.2006.12.006
Modeling lymphocyte homing and encounters in lymph nodes, BMC Bioinformatics, vol.10, issue.1, p.59, 2009. ,
DOI : 10.1186/1471-2105-10-387
URL : https://hal.archives-ouvertes.fr/hal-00784447
A Cell-Based Model Exhibiting Branching and Anastomosis during Tumor-Induced Angiogenesis, Biophysical Journal, vol.92, issue.9, pp.3105-3126, 2007. ,
DOI : 10.1529/biophysj.106.101501
Spatial modelling of brief and long interactions between T cells and dendritic cells, Immunology and Cell Biology, vol.21, issue.4, pp.306-320, 2007. ,
DOI : 10.1002/bies.10070
How to Build a Multiscale Model in Biology, Acta Biotheoretica, vol.58, issue.4, pp.291-303, 2013. ,
DOI : 10.1007/s00285-008-0211-1
URL : https://hal.archives-ouvertes.fr/hal-00867564
Design and implementation of an immune system simulator, Computers in Biology and Medicine, vol.31, issue.5, pp.303-331, 1928. ,
DOI : 10.1016/S0010-4825(01)00011-7
Large-scale cellular automata simulations of the immune system response, Physical Review E, vol.164, issue.2, pp.611851-1854, 2000. ,
DOI : 10.1006/jtbi.1993.1139
Mathematical Modeling of T-Cell Activation Kinetic, Journal of Computational Biology, vol.15, issue.1, pp.105-128, 2008. ,
DOI : 10.1089/cmb.2007.0125
URL : https://hal.archives-ouvertes.fr/emse-00449722
Agent-based simulation of T-cell activation and proliferation within a lymph node, Immunology and Cell Biology, vol.2, issue.2, pp.172-181, 2010. ,
DOI : 10.1371/journal.pcbi.0020171
CD95, BIM and T cell homeostasis, Nature Reviews Immunology, vol.37, issue.7, pp.514-519, 1926. ,
DOI : 10.4049/jimmunol.173.5.2976
T-cell activation by dendritic cells in the lymph node: lessons from the movies, Nature Reviews Immunology, vol.203, issue.9, pp.675-84, 2008. ,
DOI : 10.4049/jimmunol.178.12.7747
Dynamics of CD8+ T cell priming by dendritic cells in intact lymph nodes, Nature Immunology, vol.3, issue.6, pp.579-85, 2003. ,
DOI : 10.1038/ni843
Concepts of activated T cell death, Critical Reviews in Oncology/Hematology, vol.66, issue.1, pp.52-64, 2008. ,
DOI : 10.1016/j.critrevonc.2008.01.002
Disparate Individual Fates Compose Robust CD8+ T Cell Immunity, Science, vol.318, issue.1, pp.630-635, 1923. ,
DOI : 10.1046/j.1365-8711.2000.03655.x
Disparate Individual Fates Compose Robust CD8+ T Cell Immunity, Science, vol.318, issue.1, pp.630-635, 2013. ,
DOI : 10.1046/j.1365-8711.2000.03655.x
Multiscale modelling in immunology: a review, Briefings in Bioinformatics, vol.4, issue.3, p.88, 2015. ,
DOI : 10.1186/gm538
Multiscale modelling in immunology: a review, Briefings in Bioinformatics, vol.4, issue.3, pp.408-418, 2016. ,
DOI : 10.1186/gm538
Agent based modeling, Scholarpedia, vol.1, issue.10, pp.1562-1607, 2006. ,
DOI : 10.4249/scholarpedia.1562
Molecular regulation of effector and memory T cell differentiation, Nature Immunology, vol.12, issue.12, pp.1104-1115, 2014. ,
DOI : 10.1038/nm1326
On a practical implementation of particle methods, Applied Numerical Mathematics, vol.56, issue.10-11, pp.1418-1431, 0113. ,
DOI : 10.1016/j.apnum.2006.03.024
Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection, Learning and Intelligent Optimization, pp.59-69, 2013. ,
DOI : 10.1007/978-3-642-44973-4_7
URL : https://hal.archives-ouvertes.fr/hal-00732512
Mitochondria-centric activation induced cell death of cytolytic T lymphocytes and its implications for cancer immunotherapy, Vaccine, vol.28, issue.29, pp.4566-4572, 2010. ,
DOI : 10.1016/j.vaccine.2010.04.074
Optimal Approximations of Transport Equations by Particle and Pseudoparticle Methods, SIAM Journal on Mathematical Analysis, vol.32, issue.3, pp.616-636, 2000. ,
DOI : 10.1137/S0036141099350353
Blind Kriging : Implementation and performance analysis Advances in Engineering Software, pp.1-13, 2012. ,
oodace toolbox : A flexible objectoriented kriging implementation, Journal of Machine Learning Research, vol.15, issue.161, pp.3183-3186, 2014. ,
Predicting pathogen-specific CD8 T cell immune responses from a modeling approach, Journal of Theoretical Biology, vol.374, issue.120, pp.66-82, 2015. ,
DOI : 10.1016/j.jtbi.2015.03.033
URL : https://hal.archives-ouvertes.fr/hal-00717406
Identification of Nascent Memory CD8 T Cells and Modeling of Their Ontogeny, Cell Systems, vol.4, issue.3, pp.41-95, 0193. ,
DOI : 10.1016/j.cels.2017.01.014
URL : https://hal.archives-ouvertes.fr/hal-01409637
Statistics for Spatial Data : Cressie/Statistics Wiley Series in Probability and Statistics, p.155, 1993. ,
Runx3 and T-box proteins cooperate to establish the transcriptional program of effector CTLs, The Journal of Experimental Medicine, vol.206, issue.1, pp.51-59, 2009. ,
DOI : 10.1093/nar/gkl006
Generation of effector CD8+ T cells and their conversion to memory T cells, Immunological Reviews, vol.36, issue.1, pp.151-66, 2010. ,
DOI : 10.4049/jimmunol.172.11.6533
Effects of Signal 3 during CD8 T cell priming: Bystander production of IL-12 enhances effector T cell expansion but promotes terminal differentiation, Vaccine, vol.27, issue.15, pp.2177-2187, 2009. ,
DOI : 10.1016/j.vaccine.2009.01.088
Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties, Journal of Simulation, vol.82, issue.2, pp.276-289, 2013. ,
DOI : 10.1016/j.cpc.2012.07.002
URL : https://hal.archives-ouvertes.fr/hal-00848240
Mathematical models of memory CD8+ T-cell repertoire dynamics in response to viral infections, Bulletin of Mathematical Biology, vol.75, issue.3, pp.491-522, 2013. ,
Recruitment Times, Proliferation, and Apoptosis Rates during the CD8+ T-Cell Response to Lymphocytic Choriomeningitis Virus, Journal of Virology, vol.75, issue.22, pp.10663-10669, 2001. ,
DOI : 10.1128/JVI.75.22.10663-10669.2001
DiceDesign and DiceEval : Two R Packages for Design and Analysis of Computer Experiments, Journal of Statistical Software, issue.11, pp.65-2015 ,
Bim and the Pro-Survival Bcl-2 Proteins: Opposites Attract, ERK Repels, Cell Cycle, vol.6, issue.18, pp.2236-2240, 2007. ,
DOI : 10.4161/cc.6.18.4728
Centered $L_2$-discrepancy of random sampling and Latin hypercube
design, and construction of uniform designs, Mathematics of Computation, vol.71, issue.237, pp.275-297, 2000. ,
DOI : 10.1090/S0025-5718-00-01281-3
Single-cell quantification of IL-2 response by effector and regulatory T cells reveals critical plasticity in immune response, Molecular Systems Biology, vol.175, issue.80, pp.59-62, 2010. ,
DOI : 10.1038/ng1958
Asymptotic phases in a cell differentiation model, Journal of Differential Equations, vol.247, issue.3, pp.736-769, 2009. ,
DOI : 10.1016/j.jde.2009.03.033
Asymptotic limit in a cell differentiation model with consideration of transcription, Journal of Differential Equations, vol.252, issue.10, pp.5679-5711, 1928. ,
DOI : 10.1016/j.jde.2012.02.006
T Cell Differentiation, The Journal of Immunology, vol.179, issue.8, pp.5006-5013, 1924. ,
DOI : 10.4049/jimmunol.179.8.5006
IL-2 sensitivity and exogenous IL-2 concentration gradient tune the productive contact duration of CD8+ T cell-APC: a multiscale modeling study, BMC Systems Biology, vol.3, issue.26, pp.77-90, 2016. ,
DOI : 10.1038/ncomms2260
URL : https://hal.archives-ouvertes.fr/inserm-01354185
Heterogeneous Differentiation Patterns of Individual CD8+ T Cells, Science, vol.167, issue.12, pp.635-639, 2013. ,
DOI : 10.4049/jimmunol.167.12.6983
Multiples métamodèles pour l'approximation et l'optimisation de fonctions numériques multivariables, p.171, 2009. ,
Kriging Is Well-Suited to Parallelize Optimization, Lim Meng Hiot ,
DOI : 10.1007/978-3-642-10701-6_6
URL : https://hal.archives-ouvertes.fr/emse-00436126
Simulation of the differential adhesion driven rearrangement of biological cells, Physical Review E, vol.237, issue.3, pp.2128-2154, 1993. ,
DOI : 10.1126/science.3037697
Predicting lymph node output efficiency using systems biology, Journal of Theoretical Biology, vol.335, pp.169-84, 2013. ,
DOI : 10.1016/j.jtbi.2013.06.016
Cleavage of Anti-Apoptotic Bcl-2 Family Members after TCR Stimulation Contributes to the Decision between T Cell Activation and Apoptosis, The Journal of Immunology, vol.190, issue.1, pp.168-173, 2013. ,
DOI : 10.4049/jimmunol.1201610
Roots of the Transcendental Equation Associated with a Certain Difference-Differential Equation, Journal of the London Mathematical Society, vol.1, issue.3, pp.1-25226, 1950. ,
DOI : 10.1112/jlms/s1-25.3.226
A generalized discrepancy and quadrature error bound Mathematics of Computation of the, pp.299-322, 1998. ,
Molecular mechanisms of activated T cell death in vivo, Current Opinion in Immunology, vol.14, issue.26, pp.354-359, 2002. ,
Competition for IL-2 between Regulatory and Effector T Cells to Chisel Immune Responses, Frontiers in Immunology, vol.3, issue.80, pp.70-74, 2012. ,
Interleukin-2 in the development and control of inflammatory disease, Immunological Reviews, vol.226, issue.1, pp.19-28, 2008. ,
DOI : 10.1111/j.1600-065X.2008.00697.x
Non-genetic heterogeneity from stochastic partitioning at cell division, Nature Genetics, vol.448, issue.2, pp.95-100, 2011. ,
DOI : 10.1073/PNAS.110057697
Regression and time series model selection in small samples, Biometrika, vol.76, issue.2, pp.297-339, 1989. ,
IL-2 production in developing Th1 cells is regulated by heterodimerization of RelA and T-bet and requires T-bet serine residue 508, The Journal of Experimental Medicine, vol.77, issue.9, pp.1289-1300, 2005. ,
DOI : 10.1126/science.275.5308.1930
Not-so-great expectations: re-assessing the essence of T-cell memory, Immunological Reviews, vol.173, issue.1, pp.203-213, 2006. ,
DOI : 10.1073/pnas.0501585102
An efficient algorithm for constructing optimal design of computer experiments, Journal of Statistical Planning and Inference, vol.134, issue.1, pp.268-287, 2005. ,
DOI : 10.1016/j.jspi.2004.02.014
Efficient global optimization of expensive black-box functions, Journal of Global Optimization, vol.13, issue.4, pp.455-492, 1998. ,
DOI : 10.1023/A:1008306431147
Transcriptional control of effector and memory CD8+ T cell differentiation, Nature Reviews Immunology, vol.16, issue.11, pp.749-761, 2012. ,
DOI : 10.1038/nm.2232
Memory CD8+ T cell differentiation : Initial antigen encounter triggers a developmental program in naive cells, pp.415-422, 2001. ,
T-bet and GATA3 orchestrate Th1 and Th2 differentiation through BIBLIOGRAPHIE lineage-specific targeting of distal regulatory elements, Nat Comm, vol.3, issue.63, pp.2012-64, 1268. ,
A Role for Stat5 in CD8+ T Cell Homeostasis, The Journal of Immunology, vol.170, issue.1, pp.210-217, 2003. ,
DOI : 10.4049/jimmunol.170.1.210
Modeling and Simulation of the Immune System as a Self-Regulating Network, In Methods in Enzymology, vol.467, pp.79-109, 2009. ,
Human Late Memory CD8+ T Cells Have a Distinct Cytokine Signature Characterized by CC Chemokine Production without IL-2 Production, The Journal of Immunology, vol.183, issue.10, pp.6167-6174, 1928. ,
DOI : 10.4049/jimmunol.0902068
Mathematical and computational approaches can complement experimental studies of host-pathogen interactions, Cellular Microbiology, vol.124, issue.4, pp.531-539, 2009. ,
DOI : 10.4049/jimmunol.166.3.1951
Toward a multiscale model of antigen presentation in immunity, Immunological Reviews, vol.22, issue.1, pp.93-118, 1928. ,
DOI : 10.1093/bioinformatics/btl479
Delay Differential Equations with Applications in Population Dynamics, p.145, 1993. ,
Lead and follow: the dance of the dendritic cell and T cell, Nature Immunology, vol.1, issue.12, pp.1201-1203, 2004. ,
DOI : 10.1038/79758
mrna turnover rate limits sirna and microrna efficacy, Mol Syst Biol, vol.6, p.69, 2010. ,
Cytotoxic T-cell memory without antigen, Nature, vol.369, issue.6482, pp.648-652, 1994. ,
DOI : 10.1038/369648a0
Visualizing Antigen-Specific and Infected Cells in Situ Predicts Outcomes in Early Viral Infection, Science, vol.104, issue.39, pp.1726-1735, 2009. ,
DOI : 10.1073/pnas.0702579104
Interleukin-2 at the Crossroads of Effector Responses, Tolerance, and Immunotherapy, Immunity, vol.38, issue.1, pp.13-25, 2013. ,
DOI : 10.1016/j.immuni.2013.01.004
Characterizing the Dynamics of CD4+ T Cell Priming within a Lymph Node, The Journal of Immunology, vol.184, issue.6, p.80, 2010. ,
DOI : 10.4049/jimmunol.0903117
Visualizing dendritic cell networks in vivo, Nature Immunology, vol.7, issue.12, pp.1243-50, 2004. ,
DOI : 10.1214/aos/1176344552
Tracking the evolution of cancer cell populations through the mathematical lens of phenotypestructured equations, Biology Direct, vol.11, issue.1, p.46, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01355314
Blimp-1 directly represses Il2 and the Il2 activator Fos , attenuating T cell proliferation and survival, The Journal of Experimental Medicine, vol.205, issue.129, pp.1959-1965, 2008. ,
Preferential Localization of Effector Memory Cells in Nonlymphoid Tissue, Science, vol.291, issue.5512, pp.2413-2417, 2001. ,
DOI : 10.1126/science.1058867
Random Functions and their Application in Geology ,
DOI : 10.1007/978-1-4615-7103-2_7
Three Phases of CD8 T Cell Response in the Lung Following H1N1 Influenza Infection and Sphingosine 1 Phosphate Agonist Therapy, PLoS ONE, vol.107, issue.3 ,
DOI : 10.1371/journal.pone.0058033.s017
A comparison of three methods for selection values of input variables in the analysis of output from a computer code, Technometrics, vol.15, pp.239-245, 1979. ,
Differential Localization of T-bet and Eomes in CD8 T Cell Memory Populations, The Journal of Immunology, vol.190, issue.7, pp.3207-3222, 2013. ,
DOI : 10.4049/jimmunol.1201556
T-cell priming by dendriticcells in lymph nodes occurs in three distinct phases, Nature, vol.427, issue.6970, pp.154-159, 2004. ,
DOI : 10.1038/nature02238
T cell repertoire scanning is promoted by dynamic dendritic cell behavior and random T cell motility in the lymph node, Proceedings of the National Academy of Sciences, vol.2, issue.10, pp.998-1003, 2004. ,
DOI : 10.1038/ni713
Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection, Journal of Theoretical Biology, vol.287, pp.160-170, 2011. ,
The application of Bayesian methods for seeking the extremum, p.172, 1978. ,
Modelling vaccination schedules for a cancer immunoprevention vaccine, Immunome Research, vol.1, issue.1, pp.5-89, 2005. ,
DOI : 10.1186/1745-7580-1-5
Stromal cell contributions to the homeostasis and functionality of the immune system, Nature Reviews Immunology, vol.171, issue.9, pp.618-647, 2009. ,
DOI : 10.4049/jimmunol.171.8.4359
Counting Antigen-Specific CD8 T BIBLIOGRAPHIE Cells : A Reevaluation of Bystander Activation during Viral Infection, Immunity, p.8 ,
Towards multiscale modeling of influenza infection, Journal of Theoretical Biology, vol.332, pp.267-290, 2013. ,
DOI : 10.1016/j.jtbi.2013.03.024
The development of a fully-integrated immune response model (FIRM) simulator of the immune response through integration of multiple subset models, BMC Systems Biology, vol.7, issue.1, pp.95-140, 2013. ,
DOI : 10.1371/journal.pcbi.1000403
Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package, Computational Statistics & Data Analysis, vol.71, pp.1035-1053, 2014. ,
DOI : 10.1016/j.csda.2013.03.018
Multiscale Modeling of the Early CD8 T-Cell Immune Response in Lymph Nodes: An Integrative Study, Computation, vol.145, issue.4, pp.159-181, 2014. ,
DOI : 10.1084/jem.185.8.1487
URL : https://hal.archives-ouvertes.fr/hal-01074736
Design of computer experiments: space filling and beyond, Statistics and Computing, vol.44, issue.1, pp.681-701, 0163. ,
DOI : 10.1007/BF00048668
URL : https://hal.archives-ouvertes.fr/hal-00685876
Computational immunology BIBLIOGRAPHIE meets bioinformatics : The use of prediction tools for molecular binding in the simulation of the immune system, PLoS ONE, vol.5, issue.4, p.79, 2010. ,
Immune system simulation online, Bioinformatics, vol.5, issue.4, pp.2013-2014, 2011. ,
DOI : 10.1371/journal.pone.0009862
URL : https://academic.oup.com/bioinformatics/article-pdf/27/14/2013/6142582/btr335.pdf
An analysis of particle methods, Numerical Methods in Fluid Dynamics, pp.243-324, 1985. ,
DOI : 10.1007/BFb0074532
A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning, Journal of Theoretical Biology, vol.250, issue.4, pp.732-751, 2008. ,
DOI : 10.1016/j.jtbi.2007.10.015
Generals die in friendly fire, or modeling immune response to HIV, Journal of Computational and Applied Mathematics, vol.184, issue.1, pp.258-274, 2005. ,
DOI : 10.1016/j.cam.2004.08.018
The role of the in situ local inflammatory response in predicting recurrence and survival in patients with primary operable colorectal cancer, Cancer Treatment Reviews, vol.38, issue.5, pp.451-466, 2012. ,
DOI : 10.1016/j.ctrv.2011.09.001
Combinatorial optimization by stochastic evolution, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.10, issue.4, pp.525-535, 1991. ,
DOI : 10.1109/43.75636
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions, Nature, vol.9, issue.6754, pp.708-712, 1999. ,
DOI : 10.1016/S1074-7613(00)80597-X
Expression of the human IL-2 receptor on lymphocytes involves rapid turnover of its p55 alphasubunit, J Immunol, vol.145, pp.2946-2949, 1990. ,
T-bet expression is regulated by EGR1-mediated signaling in activated T cells, Clinical Immunology, vol.131, issue.3, pp.385-94, 2009. ,
DOI : 10.1016/j.clim.2009.02.009
The structure of IL2 bound to the three chains of the IL2 receptor and how signaling occurs, Med Immunol, vol.5, issue.70, p.80, 2006. ,
Identification of Amino Acid Residues Important for Ligand Binding to Fas, The Journal of Experimental Medicine, vol.267, issue.8, pp.1487-92, 1997. ,
DOI : 10.1002/eji.1830240943
Hybrid Modelling in Biology: a Classification Review, Mathematical Modelling of Natural Phenomena, vol.58, issue.7, pp.37-48, 2016. ,
DOI : 10.1007/s00285-008-0211-1
Na??ve CTLs require a single brief period of antigenic stimulation for clonal expansion and differentiation, Nature Immunology, vol.145, issue.5, pp.423-429, 2001. ,
DOI : 10.1016/0022-1759(91)90325-A
Antigen-driven effector CD8 T cell function regulated by T-bet, Proceedings of the National Academy of Sciences of the United States of America, pp.15818-15823, 2003. ,
A Novel Transcription Factor, T-bet, Directs Th1 Lineage Commitment, Cell, vol.100, issue.6, pp.655-669, 2000. ,
DOI : 10.1016/S0092-8674(00)80702-3
Mathematical model of the primary CD8 T cell immune response: stability analysis of a nonlinear age-structured system, Journal of Mathematical Biology, vol.12, issue.22, pp.263-291, 2012. ,
DOI : 10.1093/intimm/12.4.467
URL : https://hal.archives-ouvertes.fr/hal-00649219
Dynamic models of immune responses : What is the ideal level of detail ? Theoretical Biology and Medical Modelling, pp.35-44, 2010. ,
Sturm's Theorem for Multiple Roots, National Mathematics Magazine, vol.15, issue.8, p.391, 0104. ,
CD8 + T cell response to adenovirus vaccination and subsequent suppression of tumor growth: modeling, simulation and analysis, BMC Systems Biology, vol.515, issue.81, p.88, 2015. ,
DOI : 10.1038/nature13954
Regulation of lymph node vascular growth by dendritic cells, The Journal of Experimental Medicine, vol.136, issue.8, pp.1903-1916, 2006. ,
DOI : 10.4049/jimmunol.172.8.5034
Effector and Memory CTL Differentiation, Annual Review of Immunology, vol.25, issue.1, pp.171-92, 2007. ,
DOI : 10.1146/annurev.immunol.25.022106.141548
Development of Immune-Specific Interaction Potentials and Their Application in the Multi-Agent-System VaccImm, PLoS ONE, vol.3, issue.8, pp.23257-88, 2011. ,
DOI : 10.1371/journal.pone.0023257.s003
Contribution of Stochastic Partitioning at Human Embryonic Stem Cell Division to NANOG Heterogeneity, PLoS ONE, vol.26, issue.11 ,
DOI : 10.1371/journal.pone.0050715.s010
Combining cytokine signalling with T-bet and GATA-3 regulation in Th1 and Th2 differentiation: a model for cellular decision-making, Journal of Theoretical Biology, vol.231, issue.2, pp.181-96, 2004. ,
DOI : 10.1016/j.jtbi.2004.06.013
T-bet-mediated differentiation of the activated CD8+ T cell, European Journal of Immunology, vol.41, issue.63, pp.60-66, 2011. ,