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Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms.

, , , , , , , and . J. Bioinform. Comput. Biol., 14 (5): 1644002:1-1644002:23 (2016)

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Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification., , and . IJCAI, page 3527-3534. ijcai.org, (2018)Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms., , , , , , , and . J. Bioinform. Comput. Biol., 14 (5): 1644002:1-1644002:23 (2016)GeneclusterViz: a tool for conserved gene cluster visualization, exploration and analysis., , , , , , , , , and 1 other author(s). Bioinform., 28 (11): 1527-1529 (2012)Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer., , and . IJDMB, 17 (1): 25-41 (2017)Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification., , and . CoRR, (2017)Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences., , , , , and . J. Bioinform. Comput. Biol., (2013)Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data., , , , and . Briefings Bioinform., 21 (1): 36-46 (2020)Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer., , and . BIBM, page 767-770. IEEE Computer Society, (2016)BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data., , , and . Bioinform., 31 (2): 265-267 (2015)