Fig. 3From: Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representationsExploring the ability of BioBombe features across algorithms and latent dimensionalities to detect biological representations. Detecting GTEx sample sex across a various latent dimensionalities and algorithms, and b the latent feature with the highest enrichment. Detecting TCGA patient sex across c various latent dimensionalities, and d the latent feature with the highest enrichment. Detecting TARGET MYCN amplification in neuroblastoma (NBL) tumors e across various latent dimensionalities, and f the latent feature with the highest enrichment. g Applying the MYCN representation to an external dataset of NBL cell lines implicates MYCN amplified cell linesBack to article page