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Stochastic modeling for dynamics of HIV-1 infection using cellular automata: A review

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dc.contributor.authorMonamorn Precharattanaen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-12-11T02:19:39Z
dc.date.accessioned2019-03-14T08:04:05Z
dc.date.available2018-12-11T02:19:39Z
dc.date.available2019-03-14T08:04:05Z
dc.date.issued2016-02-01en_US
dc.description.abstract© 2016 Imperial College Press. Recently, the description of immune response by discrete models has emerged to play an important role to study the problems in the area of human immunodeficiency virus type 1 (HIV-1) infection, leading to AIDS. As infection of target immune cells by HIV-1 mainly takes place in the lymphoid tissue, cellular automata (CA) models thus represent a significant step in understanding when the infected population is dispersed. Motivated by these, the studies of the dynamics of HIV-1 infection using CA in memory have been presented to recognize how CA have been developed for HIV-1 dynamics, which issues have been studied already and which issues still are objectives in future studies.en_US
dc.identifier.citationJournal of Bioinformatics and Computational Biology. Vol.14, No.1 (2016)en_US
dc.identifier.doi10.1142/S021972001630001Xen_US
dc.identifier.issn17576334en_US
dc.identifier.issn02197200en_US
dc.identifier.other2-s2.0-84959319386en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/43030
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959319386&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectComputer Scienceen_US
dc.titleStochastic modeling for dynamics of HIV-1 infection using cellular automata: A reviewen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959319386&origin=inwarden_US

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