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Fig. 1 | Genome Medicine

Fig. 1

From: A mixture model for signature discovery from sparse mutation data

Fig. 1

A plate diagram for MMM. The mutations \(o_{t}^{n}\) (1≤t≤Tn;1≤n≤N) in each sample are observed (gray circles) and are modeled as depending on a latent (empty circles) signature ek. The (latent) selected signature \(z_{t}^{n}\) that generated the observed mutation depends on an exposure vector πn that is selected once for each of the N samples

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