Gene Set Enrichment analysis has a quite developed method in the recent past. But existing methods can have pitfalls. I would like to research on GSEA and I need to to know what would be the future direction of this research area.
Sidebar: I think GSEA should be reserved for this method: http://software.broadinstitute.org/gsea/index.jsp
Do others agree? Disagree?
One important point is correlation between gene expression so independence assumption doesn't hold true. Some methods addressed this issue
A good place to start: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1571-6
Can we take a machine learning based approach for solving the same problem which has been solved by the statistical methods?
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