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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820675/ https://www.ncbi.nlm.nih.gov/pubmed/20015947 http://dx.doi.org/10.1093/bioinformatics/btp685 |