Finally, we present methods for combining time series expression data with static data to reconstruct dynamic regulatory networks.
最后，我们提出了结合时间序列表达数据和静态数据来构建动态调控网络的方法。
It proposes the thought of constructing a determinable model basing on dense pattern data, directed with sedimentology and combining with dynamic and static data.
提出了基于密井网资料条件下，以沉积学为指导，综合动、静态资料建立确定性模型的思路。
By analyzing land use maps, combining statistic materials, connect the spatial data and attribute data and build dynamic change data base of land use.
通过对土地利用图的空间分析，结合统计资料，将属性数据和空间数据链接，建立起区域土地利用动态变化数据库。
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