Minsu Kim Contact KIMM@ORNL.GOV All Publications CPViz: Visualizing clinical pathways represented in higher-order networks... Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cance... MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis A Knowledge Network-Based Approach to Facilitate Annotation of Clinical Pathway Component Clusters Development and validation of a next-generation sequencing-based multigene assay to predict the prognosis of estrogen receptor-positive, HER2-negative breast cancer Logic-based analysis of gene expression data predicts association between TNF, TGFB1 and EGF pathways in basal-like breast cancer Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Learning Systems Group
