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Texture-based Deep Learning for Effective Histopathological Cancer Image Classification.

, , , , , , , and . BIBM, page 973-977. IEEE, (2019)

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STRING PPI Score to Characterize Protein Subnetwork Biomarkers for Human Diseases and Pathways., , and . BIBE, page 251-256. IEEE Computer Society, (2014)Deep Learning to Discover Genomic Signatures for Racial Disparity in Lung Cancer., , , , , and . BIBM, page 2990-2992. IEEE, (2020)Stage-Specific Co-expression Network Analysis for Cancer Biomarker Discovery., and . BIBM, page 1813-1819. IEEE, (2020)Evaluating SHAP's Robustness in Precision Medicine: Effect of Filtering and Normalization., and . BIBM, page 3157-3164. IEEE, (2023)Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer., and . BIBM, page 3152-3159. IEEE, (2022)Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel., and . PReMI, volume 8251 of Lecture Notes in Computer Science, page 647-655. Springer, (2013)Pseudotime Based Discovery of Breast Cancer Heterogeneity., , and . BIBM, page 2049-2054. IEEE, (2019)Pan-cancer Feature Selection and Classification Reveals Important Long Non-coding RNAs., , and . BIBM, page 2417-2424. IEEE, (2020)Graph Theoretic Concepts as the Building Blocks for Disease Initiation and Progression at Protein Network Level: Identification and Challenges., , , , , and . BIBM, page 2713-2719. IEEE Computer Society, (2018)Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder., , , , , and . PReMI, volume 14301 of Lecture Notes in Computer Science, page 844-852. Springer, (2023)