Functional enrichment analysis of the 28 DNB genes identified for ESCC. за авторством Fatemeh Keikha (20917848)

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Quantitative performance comparison of our method and five multilayer network ranking baselines on the GAC dataset across multiple evaluation metrics. за авторством Fatemeh Keikha (20917848)

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Simulation networks and gene expression analysis across disease states. за авторством Fatemeh Keikha (20917848)

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UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. за авторством Fatemeh Keikha (20917848)

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Mean expression levels of biomarker genes across various disease states. за авторством Fatemeh Keikha (20917848)

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Overview of the TransMarker framework for identifying DNBs from single cell time course data. за авторством Fatemeh Keikha (20917848)

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UMAP visualizations of extracted CD8⁺ T and CD4⁺ T cell barcodes, employed for downstream subsequent single-cell trajectory and classification analyses.... за авторством Fatemeh Keikha (20917848)

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Comparison of Gene Discovery and Performance Evaluation with Baseline Methods. за авторством Fatemeh Keikha (20917848)

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Ablation studies and performance evaluation under varying training conditions. за авторством Fatemeh Keikha (20917848)

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Robustness of TransMarker concerning the selection and completeness of the prior knowledge network. за авторством Fatemeh Keikha (20917848)

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Case study on Esophageal Squamous Cell Carcinoma (ESCC). за авторством Fatemeh Keikha (20917848)

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Functional enrichment analysis of the DNBs identified for GAC. за авторством Fatemeh Keikha (20917848)

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Gene regulatory networks for different states of GAC post-rewiring. за авторством Fatemeh Keikha (20917848)

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Classification performance across the three simulation settings. за авторством Fatemeh Keikha (20917848)

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Robustness analysis of the entropic regularization parameter in the Gromov–Wasserstein alignment step of TransMarker. за авторством Fatemeh Keikha (20917848)

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classification results on simulated datasets and biomarkers and classification results for GAC dataset. за авторством Fatemeh Keikha (20917848)

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Supplementary Results for Table 2 (b) and Fig 3. за авторством Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against six models. ^* indicates the white-box attacks. за авторством Chen Lin (95910)

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Logarithm of loss and attack success rates (%) of Diff-AdaNAG, Diff-PGD, and PGD on various numbers of iterations. за авторством Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against twelve models. ^* indicates the white-box attacks. за авторством Chen Lin (95910)

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