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Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study., , , , , , , , , and . ICNC (1), volume 3610 of Lecture Notes in Computer Science, page 1039-1042. Springer, (2005)DW4TR: A Data Warehouse for Translational Research., , , , , , , , , and 7 other author(s). J. Biomed. Informatics, 44 (6): 1004-1019 (2011)Caffeine Intake, Race, and Risk of Invasive Breast Cancer Lessons Learned from Data Mining a Clinical Database., , , , , and . CBMS, page 714-718. IEEE Computer Society, (2006)A Data Repository System for Translational Research., , , , , , , , , and . AMIA, AMIA, (2014)Selection of optimal quantile protein biomarkers based on cell-level immunohistochemistry data., , , , , , , , , and . BMC Bioinform., 24 (1): 298 (December 2023)Co-Occurrence Analysis for Discovery of Novel Breast Cancer Pathology Patterns., , , , , , and . IEEE Trans. Inf. Technol. Biomed., 10 (3): 497-503 (2006)A Bayesian derived network of breast pathology co-occurrence., , , , and . J. Biomed. Informatics, 41 (2): 242-250 (2008)A Novel Computational Analysis of Heterogeneity in Breast Tissue., , , , , , and . CBMS, page 395-400. IEEE Computer Society, (2005)Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines, , , , , , , , , and 730 other author(s). Cell Systems, 6 (3): 271--281.e7 (March 2018)Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines, , , , , , , , , and 730 other author(s). Cell Systems, 6 (3): 271--281.e7 (March 2018)