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Scientific Publications
You may find here a selection of some of ViroLab recent peer-reviewed published output.

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file icon A hybrid agent-based approach for modeling microbiological systemshot!
Z. Guo; P.M.A. Sloot and J.C. Tay: A hybrid agent-based approach for modeling microbiological systems, J. of Theor. Biology, vol. 255, nr 2 pp. 163-175. Nov. 2008. (DOI: 10.1016/j.jtbi.2008.08.008)
file icon A Grid Service for Management of Multiple HLA Federate Processes Parallel Processing and Applied...hot!
K.J. Rycerz, M. T. Bubak, M.Malawski, P.M.A. Sloot. A Grid Service for Management of Multiple HLA Federate Processes Parallel Processing and Applied Mathematics: 6th International Conference (PPAM) 2005, Revised selected papers, in series Lecture Notes in Computer Science, vol. 3911, pp. 699-706, Springer, 2006.
file icon A flexible framework for exposing legacy codes as serviceshot!
B. Balis, M. Bubak, M. Wegiel. LGF: A flexible framework for exposing legacy codes as services, Future Generation Computer Systems, Volume 24, Issue 7, July 2008, Elsevier, pp. 711-719.
file icon A Conceptual Grid Architecture for Interactive Biomedical Applicationshot!
Tirado Ramos, P.M.A. Sloot. A Conceptual Grid Architecture for Interactive Biomedical Applications 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS\'06), pp. 762-767. IEEE, Salt Lake City, USA, 2006.
file icon A complex automata model of HIV-1 coreceptor tropism: mutation rate verifiedhot!
G. Ertaylan and P.M.A. Sloot: A complex automata model of HIV-1 coreceptor tropism: mutation rate verified, in M.T. Bubak; M. Turala and K. Wiatr, editors, CGW\'07 proceedings, (abstract) pp. 85-85. Krakow, Poland, October 2008. ISBN 978-83-915141-9-1.
file icon A complex automata model of HIV-1 co-receptor tropism: Understanding mutation rate pressurehot!
G. Ertaylan and P.M.A. Sloot: A complex automata model of HIV-1 co-receptor tropism: Understanding mutation rate pressure, in Reviews in Antiretroviral Therapy, . Washington D.C., USA, December 2007.
file icon A comparison of three computational modelling methods for the prediction of virological response...hot!
Wang D, Larder B, Revell A, Montaner J, Harrigan R, De Wolf F, Lange J, Wegner S, Ruiz L, Pérez-Elías MJ, Emery S, Gatell J, D\\\'Arminio Monforte A, Torti C, Zazzi M, Lane C. A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy. Artif Intell Med. 2009 Sep;47(1):63-74.
file icon A Collaborative Decision Support System in Viral Disease Treatmenthot!
P.M.A. Sloot; P.V. Coveney; M.T. Bubak; A.-M. Vandamme; B. Ó Nualláin; D. van de Vijver and C.A.B. Boucher: Virolab: A Collaborative Decision Support System in Viral Disease Treatment, Reviews in Antiviral Therapy, vol. 3, pp. 4-7. Virology Education, 2008. ISSN 1872-437X.
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