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MISO (Mixture of Isoforms)
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MISO (Mixture-of-Isoforms) is a probabilistic framework that quantitates the expression level of alternatively spliced genes from RNA-Seq data, and identifies differentially regulated isoforms or exons across samples. By modeling the generative process by which reads are produced from isoforms in RNA-Seq, the MISO model uses Bayesian inference to compute the probability that a read originated from a particular isoform.

The MISO framework is described in Katz et. al., Analysis and design of RNA sequencing experiments for identifying isoform regulation. Nature Methods (2010).

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