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公开(公告)号：US08712935B2
公开(公告)日：2014-04-29
申请号：US13143420
申请日：2009-12-23
申请人： Narayan Behera , Shruti Sinha , Rakesh Gupta , Ann Geoncy , Nevenka Dimitrova
发明人： Narayan Behera , Shruti Sinha , Rakesh Gupta , Ann Geoncy , Nevenka Dimitrova
IPC分类号： G06N5/00
摘要： The invention relates to selecting a set of candidate genes from a pool of genes. The method comprising receiving a set of gene data; arranging the set of gene data into a set of clusters with similar profiles by use of a clustering algorithm; and inputting the set of clusters into a genetic algorithm to select a set of candidate genes from the set of clusters. The method thus relates to hybrid between selection by clustering computation and selection by evolutionary computation. This hybrid is also referred to as an evolutionary clustering algorithm (ECA).
摘要翻译： 本发明涉及从一组基因中选择一组候选基因。 该方法包括接收一组基因数据; 通过使用聚类算法将该组基因数据排列成具有相似特征的集合; 以及将所述集合集合输入到遗传算法中以从所述集合集合中选择一组候选基因。 因此，该方法涉及通过聚类计算和通过进化计算进行选择的选择之间的混合。 该混合也称为进化聚类算法（ECA）。
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公开(公告)号：US20120016826A1
公开(公告)日：2012-01-19
申请号：US13143420
申请日：2009-12-23
申请人： Narayan Behera , Shruti Sinha , Rakesh Gupta , Ann Geoncy , Nevenka Dimitrova
发明人： Narayan Behera , Shruti Sinha , Rakesh Gupta , Ann Geoncy , Nevenka Dimitrova
IPC分类号： G06N3/12
摘要： The invention relates to selecting a set of candidate genes from a pool of genes. The method comprising receiving a set of gene data; arranging the set of gene data into a set of clusters with similar profiles by use of a clustering algorithm; and inputting the set of clusters into a genetic algorithm to select a set of candidate genes from the set of clusters. The method thus relates to hybrid between selection by clustering computation and selection by evolutionary computation. This hybrid is also referred to as an evolutionary clustering algorithm (ECA).
摘要翻译： 本发明涉及从一组基因中选择一组候选基因。 该方法包括接收一组基因数据; 通过使用聚类算法将该组基因数据排列成具有相似特征的集合; 以及将所述集合集合输入到遗传算法中以从所述集合集合中选择一组候选基因。 因此，该方法涉及通过聚类计算和通过进化计算进行选择的选择之间的混合。 该混合也称为进化聚类算法（ECA）。
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