Deep learning methods for drug response prediction in cancer: Predominant and emerging trends by Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens, Rick L. Stevens

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Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images by Alexander Partin, Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson, Maulik Shukla, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens, Rick L. Stevens

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A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening by Priyanka Vasanthakumari, Yitan Zhu, Thomas Brettin, Alexander Partin, Maulik Shukla, Fangfang Xia, Oleksandr Narykov, Michael Ryan Weil, Rick L. Stevens

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Converting tabular data into images for deep learning with convolutional neural networks by Yitan Zhu, Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens

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Identification of an Attenuated Substrain of <i>Francisella tularensis</i> SCHU S4 by Phenotypic and Genotypic Analyses by Julie A. Lovchik, Douglas S. Reed, Julie A. Hutt, Fangfang Xia, Rick L. Stevens, Thero Modise, Eileen M. Barry, Terry H. Wu

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Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models by Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, James H. Doroshow, Rick L. Stevens

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Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models by Oleksandr Narykov, Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Fangfang Xia, Austin Clyde, Priyanka Vasanthakumari, James H. Doroshow, Rick L. Stevens

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SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models. by Ramy K Aziz, Scott Devoid, Terrence Disz, Robert A Edwards, Christopher S Henry, Gary J Olsen, Robert Olson, Ross Overbeek, Bruce Parrello, Gordon D Pusch, Rick L Stevens, Veronika Vonstein, Fangfang Xia

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Predicting tumor cell line response to drug pairs with deep learning by Fangfang Xia, Maulik Shukla, Thomas Brettin, Cristina Garcia-Cardona, Judith Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens

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Standardized metadata for human pathogen/vector genomic sequences. by Vivien G Dugan, Scott J Emrich, Gloria I Giraldo-Calderón, Omar S Harb, Ruchi M Newman, Brett E Pickett, Lynn M Schriml, Timothy B Stockwell, Christian J Stoeckert, Dan E Sullivan, Indresh Singh, Doyle V Ward, Alison Yao, Jie Zheng, Tanya Barrett, Bruce Birren, Lauren Brinkac, Vincent M Bruno, Elizabet Caler, Sinéad Chapman, Frank H Collins, Christina A Cuomo, Valentina Di Francesco, Scott Durkin, Mark Eppinger, Michael Feldgarden, Claire Fraser, W Florian Fricke, Maria Giovanni, Matthew R Henn, Erin Hine, Julie Dunning Hotopp, Ilene Karsch-Mizrachi, Jessica C Kissinger, Eun Mi Lee, Punam Mathur, Emmanuel F Mongodin, Cheryl I Murphy, Garry Myers, Daniel E Neafsey, Karen E Nelson, William C Nierman, Julia Puzak, David Rasko, David S Roos, Lisa Sadzewicz, Joana C Silva, Bruno Sobral, R Burke Squires, Rick L Stevens, Luke Tallon, Herve Tettelin, David Wentworth, Owen White, Rebecca Will, Jennifer Wortman, Yun Zhang, Richard H Scheuermann

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