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MIClique: An Algorithm to Identify Differentially Coexpressed Disease Gene Subset from Microarray Data
Computational analysis of microarray data has provided an effective way to identify disease-related genes. Traditional disease gene selection methods from microarray data such as statistical test always focus on differentially expressed genes in different samples by individual gene prioritization. T...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2822236/ https://ncbi.nlm.nih.gov/pubmed/20169000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2009/642524 |
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