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- W2393603649 abstract "We presented a novel method on construction of regulatory networks of feature genes about tumor.Firstly the feature genes about tumor based on P-tree was rapidly selected;then the feature genes were clustered on combination of GO annotation and microarray data;finally the functional modules of regulatory network were constructed by text mining,and the feature genes of every cluster was made the core of network.The result of experiments demonstrated that our method greatly reduced the time of feature genes′ selection,and the construction of regulatory network had more details about biological process on the tumor,many other genes which has direct or indirect relationships about feature genes were introduced to the network modules by text mining,thus the contents of regulatory network was more abundant and had more orderliness.It's concluded that by combining the information of microarray,Gene Ontology and related literatures,the construction of regulatory network on tumor can be more detailed and abundant,and more specific to the regulatory processes.This provides effective guide to analysis on formation,proliferation and metastasis of tumor." @default.
- W2393603649 created "2016-06-24" @default.
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- W2393603649 date "2009-01-01" @default.
- W2393603649 modified "2023-09-23" @default.
- W2393603649 title "Construction of Regulatory Network of Tumor Genes by Combing Information of Microarray and Gene Ontology" @default.
- W2393603649 hasPublicationYear "2009" @default.
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