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MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification
BACKGROUND: Sequencing datasets consist of a finite number of reads which map to specific regions of a reference genome. Most effort in modeling these datasets focuses on the detection of univariate differentially expressed genes. However, for classification, we must consider multiple genes and thei...
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| Udgivet i: | BMC Bioinformatics |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4265360/ https://ncbi.nlm.nih.gov/pubmed/25491122 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0401-3 |
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