PriorMetrics {SMRUCC.genomics.Analysis.SGrid.GRN}

.NET clr documentation

PriorMetrics

Description

The evaluation of the prior knowledge against the recovered network topology. (先验知识与拟合得到的网络拓扑之间的对照指标)

Declare

            
# namespace SMRUCC.genomics.Analysis.SGrid.GRN
export class PriorMetrics {
   # 先验知识之中被成功复现出来的边数量
   ConfirmedPriorEdges: integer;
   # 先验知识之中没有被复现出来的边
   MissedPriorEdges: iterates(RegulatoryEdge);
   # 先验覆盖率：恢复出来的边之中有多少比例是有先验支持的
   Precision: double;
   # 恢复出来的调控边总数
   RecoveredEdges: integer;
   # 先验方向的整体一致率
   SignConsistency: double;
   # 有先验支持并且调控方向一致的边的数量
   SignConsistent: integer;
   # 有先验支持但是调控方向相反的边
   SignViolations: iterates(RegulatoryEdge);
   # 其中被先验知识所支持的边的数量
   SupportedEdges: integer;
   # 没有先验支持的边（新发现的调控关系）
   UnsupportedEdges: iterates(RegulatoryEdge);
}

        

.NET clr type reference tree

1. use by property member MissedPriorEdges: iterates(RegulatoryEdge)
2. use by property member SignViolations: iterates(RegulatoryEdge)
3. use by property member UnsupportedEdges: iterates(RegulatoryEdge)

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