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Many supervised learning algorithms have been applied in deriving gene signatures for patient stratification from gene expression data. However, transferring the multi-gene signatures from one analytical platform to another without loss of classification accuracy is a major challenge. Here, researchers ...
Read More »Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping
