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Clustering cancer gene expression data by projective clustering ensemble
Gene expression data analysis has paramount implications for gene treatments, cancer diagnosis and other domains. Clustering is an important and promising tool to analyze gene expression data. Gene expression data is often characterized by a large amount of genes but with limited samples, thus vario...
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| Publicado en: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5325197/ https://ncbi.nlm.nih.gov/pubmed/28234920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0171429 |
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