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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 al...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3602020/ https://ncbi.nlm.nih.gov/pubmed/23527177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0059377 |
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