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Fig. 3 | Genome Biology

Fig. 3

From: Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Fig. 3

Exploring 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 lines

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