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TarGo: network based target gene selection system for human disease related mouse models

机译:TarGo:基于网络的目标基因选择系统用于人类疾病相关的小鼠模型

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摘要

Prediction of gene-phenotype association using interaction network and signature genes. The hyperlink matrix and dangling matrix (no outgoing edge matrix) were constructed from interaction databases (red box). The weight matrix was constructed using public annotation databases (orange box). The d represented the dumping factor (0.85). The TSPR score represented the gene association for that particular phenotype. For this given TSPR score vector, A and D were signature genes. The seed nodes were selected from the top three ranking TSPR scores. A and D were good seeds because these two genes were signature genes in the input phenotype and ranked among the top three in the TSPR result. Therefore, d is 2 in this figure, meaning the good seed vector is ½. All other cases were given 0. Finally, phenotype-associated genes were selected from those with a high TrustRank score and low Spammass score
机译:使用相互作用网络和签名基因预测基因-表型的关联。从交互数据库(红色框)构造了超链接矩阵和悬空矩阵(没有输出边缘矩阵)。权重矩阵是使用公共注释数据库(橙色框)构建的。 d代表倾销因子(0.85)。 TSPR分数代表该特定表型的基因关联。对于给定的TSPR评分载体,A和D是签名基因。从排名前三的TSPR得分中选择种子节点。 A和D是好的种子,因为这两个基因是输入表型的特征基因,在TSPR结果中排名前三。因此,在该图中,d为2,表示良好的种子向量为½。其他所有情况均设为0。最后,从TrustRank得分高和Spammass得分低的那些表型中选择相关的基因。

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