Highly significant overlaps were observed between the genes identified by all approaches (Additional file 3 : Table S2), with 66% of genes (3976) identified using the elastic net approach also identified either by the GEUVADIS or edgeR approaches, with 25% identified by both (1527 genes, 12.8-fold more overlap between the approaches than expected by chance).
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Using machine learning to detect the differential usage of novel gene isoforms.
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