DIABLO

Additional Notes

DIABLO is a collaborative work between the core team (Dr Florian Rohart, Dr Kim-Anh Lê Cao), and key contributors (Dr Amrit Singh, Benoît Gautier) as a result of a long-term collaboration with the University of British Columbia.

We are also investigating an N-integration method based on kernels (see our example here with mixKernel), which has currently been developed for unsupervised analysis.

For more details on how to construct a design matrix see N-integration methods.

Further Reading

The mixOmics DIABLO methodology has been applied in real research contexts. A few examples can be seen below:

• Lee, A.H., Shannon, C.P., Amenyogbe, N. et al. Dynamic molecular changes during the first week of human life follow a robust developmental trajectory. Nat Commun 10, 1092 (2019)
• Gavin PG, Mullaney JA, Loo D, Cao KL, Gottlieb PA, Hill MM, Zipris D, Hamilton-Williams EE. Intestinal Metaproteomics Reveals Host-Microbiota Interactions in Subjects at Risk for Type 1 Diabetes. Diabetes Care. 2018 Oct;41(10):2178-2186

References

1. Singh, A., Shannon, C. P., Gautier, B., Rohart, F., Vacher, M., Tebbutt, S. J., and Lê Cao, K.-A. (2019). Diablo: an integrative approach for identifying key molecular drivers from multi-omics assays. Bioinformatics,35(17):3055–3062.