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.
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.
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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Sidebar: I think GSEA should be reserved for this method: http://software.broadinstitute.org/gsea/index.jsp
Do others agree? Disagree?