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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.
Article in Chinese | 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.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Statistics Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Statistics Year: 2018 Type: Article