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Consensus clustering and functional interpretation of gene-expression data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introdu...
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| 出版年: | Genome Biol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2004
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC545785/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15535870/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2004-5-11-r94 |
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