Computational Molecular Biology 2024, Vol.14, No.2, 64-75 http://bioscipublisher.com/index.php/cmb 67 Figure 1 Comparison of SNF results on the validation sets by using default parameters before and after feature selection and by using trained parameters without feature selection (Adopted from Tini et al., 2019) Image caption: Averaged F-scores obtained from the three analyses are represented with light-, dark- and medium-shaded bars, respectively. Minimum F-scores are represented with black lines. A minimum F-score equal to 0 indicates that not all the subtypes have been recognized. The number of subtypes recognized for each trial is added above the bars. (A) Simulated scenarios. (B) BXD data set (G: gene expression, P: proteins, M: metabolites). (C) BRCA data set (G: gene expression, Mi: miRNA, Me: methylation). Figure 2 Four Strategies for Multi-Omics Data Integration: Early Integration, Joint Integration, Late Integration, and Mixed Integration (Adapted from Benkirane et al., 2023) Image caption: a. Early Integration VAE: Variational Autoencoder architecture with early integration strategy. b. Joint Integration VAE: Variational Autoencoder architecture with joint integration strategy. c. Late Integration VAE: Variational Autoencoder architecture with late integration strategy.d. Mixed-Integration/CustOmics: This is a hierarchical architecture composed of specific per-source autoencoders that converges into a central variational autoencoder (Adapted from Benkirane et al., 2023)
RkJQdWJsaXNoZXIy MjQ4ODYzNA==