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SIComORe: Selection of Interaction effects in COmpressed Multiple Omics REpresentation
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SIComORe

Selection of Interaction effects in COmpressed Multiple Omics REpresentation

Description

From a set of input matrices and phenotype related to the same set of individual, sicomore is a two-step method which 1) find and select groups of correlated variables in each input matrix which are good predictors for the common phenotype; 2. find the most predictive interaction effects between the set of data by testing for interaction between the selected groups of each input matrix

References

Guinot, F., Szafranski, M., Chiquet, J. & Ambroise, C. Fast Computation of Genome-Metagenome Interaction Effects, 2018. link

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