The Application of Auto Regressive Time Varying Models to the Network Building of Time Series Microarray Data
- VernacularTitle:ARTIVA在时间序列基因表达数据网络构建中的应用
- Author:
Huijuan LIU
1
;
Yan HOU
;
Kang LI
Author Information
1. 哈尔滨医科大学卫生统计学教研室 150081
- Keywords:
Auto regressive time varying models;
Network building;
Time series microarray data
- From:
Chinese Journal of Health Statistics
2018;35(5):642-645
- CountryChina
- Language:Chinese
-
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.
