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The Application of Auto Regressive Time Varying Models to the Network Building of Time Series Microarray Data / 中国卫生统计
Chinese Journal of Health Statistics ; (6): 642-645, 2018.
Artigo em Chinês | WPRIM | ID: wpr-703524
ABSTRACT
Objective To explore the application of auto regressive time varying models in network building of time se-ries microarray data.Methods We used actual data to carry out a preliminary discussion about the properties of auto regressive time varying models.Results Analysis results of actual data suggested that auto regressive time varying models can perform well whether the number of timepoint is large or small,and it can recognize the network’s dynamic variation rule.Conclusion Auto regressive time varying models is applicable to network building of time series microarray data.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Health Statistics Ano de publicação: 2018 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Health Statistics Ano de publicação: 2018 Tipo de documento: Artigo