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Mixture-model based estimation of gene expression variance from public database improves identification of differentially expressed genes in small sized microarray data
Motivation: The small number of samples in many microarray experiments is a challenge for the correct identification of differentially expressed gens (DEGs) by conventional statistical means. Information from public microarray databases can help more efficient identification of DEGs. To model variou...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2820675/ https://ncbi.nlm.nih.gov/pubmed/20015947 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp685 |
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