CN-SBM jointly clusters samples and genomic bins using categorical copy number states, decomposes profiles into primary and residual variation, and reports better held-out likelihood than existing CNV co-clustering methods.
M., Kucukelbir, A., and McAuliffe, J
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CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation
CN-SBM jointly clusters samples and genomic bins using categorical copy number states, decomposes profiles into primary and residual variation, and reports better held-out likelihood than existing CNV co-clustering methods.