Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.