Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation
نویسندگان
چکیده
منابع مشابه
Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation
Identifying subspace gene clusters from the gene expression data is useful for discovering novel functional gene interactions. In this paper, we propose to use low-rank representation (LRR) to identify the subspace gene clusters from microarray data. LRR seeks the lowest-rank representation among all the candidates that can represent the genes as linear combinations of the bases in the dataset....
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2013
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0059377