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EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes., , , , and . Bioinform., 32 (4): 533-541 (2016)Significance Analysis of Prognostic Signatures., , , , , , , , , and . PLoS Comput. Biol., (2013)Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method., , , , , , and . CoRR, (2016)Three differentiation states risk-stratify bladder cancer into distinct subtypes., , , , , , , , , and 10 other author(s). Proc. Natl. Acad. Sci. USA, 109 (6): 2078-2083 (2012)Deep learning assessment of tumor proliferation in breast cancer histological images., , , , and . BIBM, page 600-603. IEEE Computer Society, (2017)Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images., , , , , , , , and . ISBI, page 929-932. IEEE, (2017)Inconsistency in large pharmacogenomic studies., , , , , , and . Nature, 504 (7480): 389-393 (2013)Earth mover's distance for differential analysis of heterogeneous genomics data., and . GlobalSIP, page 963-966. IEEE, (2015)Safikhani et al. reply., , , , , , , , , and . Nat., 540 (7631): E2-E4 (2016)Deep Learning for Identifying Metastatic Breast Cancer., , , , and . CoRR, (2016)