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Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the i...
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| Hoofdauteurs: | , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
National Academy of Sciences
2004
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC438973/ https://ncbi.nlm.nih.gov/pubmed/15184677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0401994101 |
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