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Commonly datasets will be clustered together but then different subsets compared.
In NYGC ALS cohort I want to compare C9 and non-C9 ALS to control
Therefore I would set up the following:
All samples go in for clustering
Differential splicing then runs for each comparison (Control vs sALS, Control vs C9ALS).
How to implement?
config.yaml currently just sets a refCondition and an altCondition variable.
So write code to implement multiple of each and then allow for all combinations of ref and alt to be compared.
The text was updated successfully, but these errors were encountered:
Commonly datasets will be clustered together but then different subsets compared.
In NYGC ALS cohort I want to compare C9 and non-C9 ALS to control
Therefore I would set up the following:
All samples go in for clustering
Differential splicing then runs for each comparison (Control vs sALS, Control vs C9ALS).
How to implement?
config.yaml currently just sets a refCondition and an altCondition variable.
So write code to implement multiple of each and then allow for all combinations of ref and alt to be compared.
The text was updated successfully, but these errors were encountered: