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Robust Modeling of Differential Gene Expression Data Using Normal/Independent Distributions: A Bayesian Approach
In this paper, the problem of identifying differentially expressed genes under different conditions using gene expression microarray data, in the presence of outliers, is discussed. For this purpose, the robust modeling of gene expression data using some powerful distributions known as normal/indepe...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4409222/ https://ncbi.nlm.nih.gov/pubmed/25910040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0123791 |
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