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EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes., , , , and . Bioinformatics, 32 (4): 533-541 (2016)Three differentiation states risk-stratify bladder cancer into distinct subtypes., , , , , , , , , and 10 other author(s). Proc. Natl. Acad. Sci. U.S.A., 109 (6): 2078-2083 (2012)Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method., , , , , , and . CoRR, (2016)Significance Analysis of Prognostic Signatures., , , , , , , , , and . PLoS Computational Biology, (2013)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)Earth mover's distance for differential analysis of heterogeneous genomics data., and . GlobalSIP, page 963-966. IEEE, (2015)Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge., , , , , , , , , and 23 other author(s). CoRR, (2018)Deep Learning for Identifying Metastatic Breast Cancer., , , , and . CoRR, (2016)Safikhani et al. reply., , , , , , , , , and . Nature, 540 (7631): E2-E4 (2016)