Hello,
I'm looking for resources (reviews, papers, tutorials) on using machine learning approaches that discriminate between phenotypic or clinical characteristics using omics data as input.
Simplest case scenario would be to build a classifier on gene expression profiles of patients with or without a particular phenotype or clinical characteristic. Similar to a standard differential expression analysis workflow, one could then explore the most discriminating features/genes from a functional perspective.
Thank you!