tailieunhanh - MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: Model-based RNA-Seq classification

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 their interactions. |

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