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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization

Fig. 5

Results for Po-NMF and \(\hbox{NB}_\text{N}\)-NMF applied to a data set with 286 prostate cancer patients from the PCAWG database [25]. a The optimal number of signatures estimated from SigMoS and BIC when using Po-NMF and \(\hbox{NB}_\text{N}\)-NMF. b The residual plots for Po-NMF and \(\hbox{NB}_\text{N}\)-NMF when assuming the estimated number of signatures from SigMoS i.e. 5 and 6 signatures. The lines in the first plot correspond to two times the expected variance under the chosen distributional assumption. For \(\hbox{NB}_\text{N}\)-NMF, the colored lines in the top plot show the median, minimum and maximum variance among the patients. The bottom plots show the normalized residuals. The vertical blue and red lines depict the theoretical quantiles and the gray lines the observed quantiles

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BMC Bioinformatics

ISSN: 1471-2105

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