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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling

Fig. 1

A A schematic illustration of how the \(s=3\)rd column of the drug-sensitivity matrix \(\varvec{Y}\) is generated under the proposed Gaussian Process regression model using the set of functions \(\{f_{ps}\}_{p=1}^4\). Here we set \(Z=\{1,1,1,0\}\). This means the \(p=4\)th protein does not contribute to the sensitivity measure, and the corresponding function \(f_{43}\) is colored in grey. B Graphical representation of the proposed Spike-and-Slab Gaussian Process regression model. C A table of all variables used to define the proposed model

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BMC Bioinformatics

ISSN: 1471-2105

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