Zhong-xue Yang

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In this paper, we present a fast biological datamining algorithm named IRTM based on embedded frequentsubtree. We also advance a string encoding method forrepresenting the trees, a scope-list for extending all substringsand some pruning rules which can further reduce thecomputational time and space cost. Experimental results showthat IRTM algorithm can(More)
Biclustering the gene expressing data is an important task in bioinformatics. A parallel biclustering algorithm for gene expressing data is presented. The algorithm starts from the data sets containing pair of rows and columns of the data matrix, and gets the biclusters by gradually adding columns and rows on the data sets. A pruning technique is also(More)
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