Three differentiation states risk-stratify bladder cancer into distinct subtypes. - Jens-Peter Volkmer; Debashis Sahoo; Robert K. Chin; Philip Levy Ho; Chad Tang; Antonina V. Kurtova; Stephen B. Willingham; Senthil K. Pazhanisamy; Humberto Contreras-Trujillo; Theresa A. Storm; Yair Lotan; Andrew H. Beck; et al. (Proc. Natl. Acad. Sci. USA, 2012)

Inconsistency in large pharmacogenomic studies. - Benjamin Haibe-Kains; Nehme El-Hachem; Nicolai J. Birkbak; Andrew C. Jin; Andrew H. Beck; Hugo J. W. L. Aerts; John Quackenbush (Nat., 2013)

Significance Analysis of Prognostic Signatures. - Andrew H. Beck; Nicholas W. Knoblauch; Marco M. Hefti; Jennifer Kaplan; Stuart J. Schnitt; Aedín C. Culhane; Markus S. Schröder; Thomas Risch; John Quackenbush; Benjamin Haibe-Kains (PLoS Comput. Biol., 2013)

Earth mover's distance for differential analysis of heterogeneous genomics data. - Sheida Nabavi; Andrew H. Beck (GlobalSIP, 2015)

EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes. - Sheida Nabavi; Daniel Schmolze; Mayinuer Maitituoheti; Sadhika Malladi; Andrew H. Beck (Bioinform., 2016)

PharmacoGx: an R package for analysis of large pharmacogenomic datasets. - Petr Smirnov; Zhaleh Safikhani; Nehme Hachem; Dong Wang; Adrian She; Catharina Olsen; Mark Freeman 002; Heather Marie Selby; Deena M. A. Gendoo; Patrick Grossmann; Andrew H. Beck; Hugo J. W. L. Aerts; et al. (Bioinform., 2016)

Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method. - Humayun Irshad; Eun-Yeong Oh; Daniel Schmolze; Liza M. Quintana; Laura Collins; Rulla M. Tamimi; Andrew H. Beck (CoRR, 2016)

Deep Learning for Identifying Metastatic Breast Cancer. - Dayong Wang; Aditya Khosla; Rishab Gargeya; Humayun Irshad; Andrew H. Beck (CoRR, 2016)

Safikhani et al. reply. - Zhaleh Safikhani; Nehme Hachem; Petr Smirnov; Mark Freeman 002; Anna Goldenberg; Nicolai J. Birkbak; Andrew H. Beck; Hugo J. W. L. Aerts; John Quackenbush; Benjamin Haibe-Kains (Nat., 2016)

Deep learning assessment of tumor proliferation in breast cancer histological images. - Manan A. Shah; Dayong Wang; Christopher Rubadue; David Suster; Andrew H. Beck (BIBM, 2017)

Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. - Babak Ehteshami Bejnordi; Jimmy Lin; Ben Glass; Maeve Mullooly; Gretchen L. Gierach; Mark E. Sherman; Nico Karssemeijer; Jeroen van der Laak; Andrew H. Beck (ISBI, 2017)

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (CoRR, 2018)

PLUTO: Pathology-Universal Transformer. - Dinkar Juyal; Harshith Padigela; Chintan Shah; Daniel Shenker; Natalia Harguindeguy; Yi Liu; Blake Martin; Yibo Zhang; Michael Nercessian; Miles Markey; Isaac Finberg; Kelsey Luu; et al. (CoRR, 2024)