Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.

Sego, T J; Aponte-Serrano, Josua O; Gianlupi, Juliano F; Glazier, James A

Sego, T J; Aponte-Serrano, Josua O; Gianlupi, Juliano F; Glazier, James A.

Afiliação

Sego TJ; Department of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University, Bloomington, IN, USA. tjsego@iu.edu.
Aponte-Serrano JO; Department of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University, Bloomington, IN, USA.
Gianlupi JF; Department of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University, Bloomington, IN, USA.
Glazier JA; Department of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University, Bloomington, IN, USA.

BMC Biol ; 19(1): 196, 2021 09 08.

Article em En | MEDLINE | ID: mdl-34496857

Assuntos

Viroses; Simulação por Computador; Humanos; Modelos Biológicos; Dinâmica Populacional; Reprodutibilidade dos Testes

Palavras-chave

Agent-based modeling; Multicellular systems; Multiscale modeling

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Viroses Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google