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If you run an integrative algorithm on these two sets of reductions, you could get some useful variant-gene relationships (both cis- and trans-).
MOFA+ seems like a good tool for this, since you're essentially learning multi-modal relationships from the same set of samples. MOFA+ also induces sparsity constraints and can even model variation due to hierarchical metadata attributes. Plus you can accelerate with GPUs!
The text was updated successfully, but these errors were encountered:
If you run an integrative algorithm on these two sets of reductions, you could get some useful variant-gene relationships (both cis- and trans-).
MOFA+ seems like a good tool for this, since you're essentially learning multi-modal relationships from the same set of samples. MOFA+ also induces sparsity constraints and can even model variation due to hierarchical metadata attributes. Plus you can accelerate with GPUs!
The text was updated successfully, but these errors were encountered: