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Fig. 1 | Human Genomics

Fig. 1

From: Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers

Fig. 1

Integration models for metabolomic and genomic data. A Tensor regression approach. Tensor datatype was used to represent the metabolomic data for predicting MSI cancer status. The genomic data were treated as confounding covariates. The adjusted metabolomic and genomic data were correlated using a tensor regression model. B Classical approach. The metabolomic and genomic data were integrated with a simultaneous approach for classification and correlated using a linear regression model

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Human Genomics

ISSN: 1479-7364