Bio-inspired computational heuristics to study models of HIV infection of CD4+ T-cell

In this work, biologically-inspired computing framework is developed for HIV infection of CD4+ T-cell model using feed-forward artificial neural networks (ANNs), genetic algorithms (GAs), sequentia...

[1]  Naveed Ishtiaq Chaudhary,et al.  Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations , 2016 .

[2]  Omar Abu Arqub,et al.  Solution of the fractional epidemic model by homotopy analysis method , 2013 .

[3]  A. Korobeinikov Global properties of basic virus dynamics models , 2004, Bulletin of mathematical biology.

[4]  A. Arafa,et al.  A fractional-order model of HIV infection with drug therapy effect , 2014 .

[5]  Hector Vazquez-Leal,et al.  Multistage HPM Applied to Path Tracking Damped Oscillations of a Model for HIV Infection of CD4+ T Cells , 2014 .

[6]  B. Korber,et al.  Cross-reactive potential of human T-lymphocyte responses in HIV-1 infection. , 2014, Vaccine.

[7]  Za'er Salim Abo-Hammour,et al.  Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm , 2014, Inf. Sci..

[8]  Snehashish Chakraverty,et al.  Numerical solution of nonlinear singular initial value problems of Emden-Fowler type using Chebyshev Neural Network method , 2015, Neurocomputing.

[9]  M. A. Manzar,et al.  An efficient computational intelligence approach for solving fractional order Riccati equations using ANN and SQP , 2015 .

[10]  Dominik Wodarz,et al.  Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? , 2007, Mathematical biosciences.

[11]  Muhammad Asif Zahoor Raja,et al.  Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP , 2014 .

[12]  Shuzhi Sam Ge,et al.  Coverage planning in computer-assisted ablation based on Genetic Algorithm , 2014, Comput. Biol. Medicine.

[13]  Alan S. Perelson,et al.  Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of HIV viral dynamic parameters. , 2001 .

[14]  M A Nowak,et al.  Virus dynamics and drug therapy. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Ahmet Yildirim,et al.  On the numerical solution of the model for HIV infection of CD4+ T cells , 2011, Comput. Math. Appl..

[16]  Carsten Magnus,et al.  Restricted occupancy models for neutralization of HIV virions and populations. , 2011, Journal of theoretical biology.

[17]  Ş. Yüzbaşı A numerical approach to solve the model for HIV infection of CD4+T cells , 2012 .

[18]  Raja Muhammad Asif Zahoor,et al.  Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation , 2015, Appl. Soft Comput..

[19]  M. Raja Stochastic numerical treatment for solving Troesch’s problem , 2014 .

[20]  Abdul-Majid Wazwaz,et al.  Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes , 2016, Appl. Soft Comput..

[21]  Hal L. Smith,et al.  Virus Dynamics: A Global Analysis , 2003, SIAM J. Appl. Math..

[22]  Shuai Li,et al.  A MapReduce based parallel SVM for large-scale predicting protein-protein interactions , 2014, Neurocomputing.

[23]  Snehashish Chakraverty,et al.  Regression-based weight generation algorithm in neural network for solution of initial and boundary value problems , 2013, Neural Computing and Applications.

[24]  M A Nowak,et al.  Human immunodeficiency virus drug therapy and virus load , 1997, Journal of virology.

[25]  Michael Y. Li,et al.  Global dynamics of a mathematical model for HTLV-I infection of CD4+ T cells with delayed CTL response , 2012 .

[26]  Ahmet Yildirim,et al.  Solving a fractional order model of HIV infection of CD4+ T cells , 2011, Math. Comput. Model..

[27]  N. Doğan,et al.  Numerical Treatment of the Model for HIV Infection of CD4 , 2012 .

[28]  A. Perelson,et al.  Complex patterns of viral load decay under antiretroviral therapy: influence of pharmacokinetics and intracellular delay. , 2004, Journal of theoretical biology.

[29]  Mevlüde Yakit Ongun,et al.  The Laplace Adomian Decomposition Method for solving a model for HIV infection of CD4+T cells , 2011, Math. Comput. Model..

[30]  Abdul-Majid Wazwaz,et al.  Nature-inspired computing approach for solving non-linear singular Emden–Fowler problem arising in electromagnetic theory , 2015, Connect. Sci..

[31]  Robin A. Weiss,et al.  How does HIV cause AIDS , 1993 .

[32]  Haruna Chiroma,et al.  Neural Network Intelligent Learning Algorithm for Inter-related Energy Products Applications , 2014, ICSI.

[33]  Tasawar Hayat,et al.  Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method , 2015, Soft Computing.

[34]  H. Goossens,et al.  mRNA-based dendritic cell vaccination induces potent antiviral T-cell responses in HIV-1-infected patients , 2012, AIDS.

[35]  A S Perelson,et al.  Drug concentration heterogeneity facilitates the evolution of drug resistance. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[36]  Bibhas Chandra Dhara,et al.  Selection of genes mediating certain cancers, using a neuro-fuzzy approach , 2014, Neurocomputing.

[37]  Junaid Ali Khan,et al.  Stochastic numerical treatment for thin film flow of third grade fluid using unsupervised neural networks , 2015 .

[38]  Xiaoou Li,et al.  Imbalanced data classification via support vector machines and genetic algorithms , 2014, Connect. Sci..

[39]  G. García-Ramos,et al.  Fighting a virus with a virus: a dynamic model for HIV-1 therapy. , 2003, Mathematical biosciences.

[40]  A S Perelson,et al.  Target cell limited and immune control models of HIV infection: a comparison. , 1998, Journal of theoretical biology.

[41]  Raja Muhammad Asif Zahoor,et al.  Numerical treatment for nonlinear MHD Jeffery-Hamel problem using neural networks optimized with interior point algorithm , 2014, Neurocomputing.