how to do normalization across variable kinds of tumors
I am now studying a mRNA predictor for immune-check point inhibitor response across different kinds of tumors.When I get the different batches of patients data(RNA-seq count of patients with PD-1 response of different kinds of tumors),how should I normalized all the data that will enable me to build a model which include a set of genes to predict the response?
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Not double-posted but the conversation hijacked another similar thread: A: edgeR - normalized counts from multiple datasets
Did our interactions in the other thread help, 1561775911?
Nice username, by the way.