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Fig. 1 | BMC Genomics

Fig. 1

From: Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification

Fig. 1

LRAcluster overview. LRAcluster receives 3 types (Gaussian, Poisson and Binary) of data as input. A probabilistic model with large amount of parameters are used to model the data. Low-rank approximation of the parameter matrix implies a latent subspace with low dimension. Clustering done on the reduced subspace generates the candidate molecular subtypes

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