Machine learning prediction of oncology drug targets based on protein and network properties by Zoltán Dezső, Michele Ceccarelli

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PINNED: identifying characteristics of druggable human proteins using an interpretable neural network by Michael Cunningham, Danielle Pins, Zoltán Dezső, Maricel Torrent, Aparna Vasanthakumar, Abhishek Pandey

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Gene expression profiling reveals epithelial mesenchymal transition (EMT) genes can selectively differentiate eribulin sensitive breast cancer cells. by Zoltán Dezső, Judith Oestreicher, Amy Weaver, Stephanie Santiago, Sergei Agoulnik, Jesse Chow, Yoshiya Oda, Yasuhiro Funahashi

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Circulating miRNA biomarkers for Alzheimer's disease. by Pavan Kumar, Zoltan Dezso, Crystal MacKenzie, Judy Oestreicher, Sergei Agoulnik, Michael Byrne, Francois Bernier, Mamoru Yanagimachi, Ken Aoshima, Yoshiya Oda

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Machine learning reveals genetic modifiers of the immune microenvironment of cancer by Bridget Riley-Gillis, Shirng-Wern Tsaih, Emily King, Sabrina Wollenhaupt, Jonas Reeb, Amy R. Peck, Kelsey Wackman, Angela Lemke, Hallgeir Rui, Zoltan Dezso, Michael J. Flister

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