Enhancer Sequence Variants and Transcription-Factor Deregulation Synergize to Construct Pathogenic Regulatory Circuits in B-Cell Lymphoma von Koues, Olivia I., Kowalewski, Rodney A., Chang, Li-Wei, Pyfrom, Sarah C., Schmidt, Jennifer A., Luo, Hong, Sandoval, Luis E., Hughes, Tyler B., Bednarski, Jeffrey J., Cashen, Amanda F., Payton, Jacqueline E., Oltz, Eugene M.

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A simple model predicts UGT-mediated metabolism von Dang, Na Le, Hughes, Tyler B, Krishnamurthy, Varun, Swamidass, S Joshua

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Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network von Hughes, Tyler B, Miller, Grover P, Swamidass, S. Joshua

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Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network von Hughes, Tyler B, Dang, Na Le, Miller, Grover P, Swamidass, S. Joshua

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Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism von Hughes, Tyler B, Swamidass, S. Joshua

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XenoSite server: a web-available site of metabolism prediction tool von Matlock, Matthew K, Hughes, Tyler B, Swamidass, S Joshua

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Site of Reactivity Models Predict Molecular Reactivity of Diverse Chemicals with Glutathione von Hughes, Tyler B, Miller, Grover P, Swamidass, S. Joshua

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The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors von Dang, Na Le, Matlock, Matthew K, Hughes, Tyler B, Swamidass, S. Joshua

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Modeling the Bioactivation and Subsequent Reactivity of Drugs von Hughes, Tyler B, Flynn, Noah, Dang, Na Le, Swamidass, S. Joshua

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Modeling Small-Molecule Reactivity Identifies Promiscuous Bioactive Compounds von Matlock, Matthew K, Hughes, Tyler B, Dahlin, Jayme L, Swamidass, S. Joshua

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A cohort study on blood coagulation in childhood cancer survivors von Meyer, Andrew D., Hughes, Tyler B., Rishmawi, Anjana R., Heard, Patty, Shah, Shafqat, Aune, Gregory J.

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Computationally Assessing the Bioactivation of Drugs by N‑Dealkylation von Dang, Na Le, Hughes, Tyler B, Miller, Grover P, Swamidass, S. Joshua

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Comprehensive secondary analysis of thrombotic events in pediatric patients receiving extracorporeal membrane oxygenation: A prospective cohort study von Hughes, Tyler B, Treffalls, Rebecca N, Koek, Wouter, Dalton, Heidi, Karam, Oliver, Meyer, Andrew D

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Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites von Hughes, Tyler B, Dang, Na Le, Kumar, Ayush, Flynn, Noah R, Swamidass, S. Joshua

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Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes von Dang, Na Le, Hughes, Tyler B, Miller, Grover P, Swamidass, S. Joshua

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Extending P450 site-of-metabolism models with region-resolution data von Zaretzki, Jed M, Browning, Michael R, Hughes, Tyler B, Swamidass, S Joshua

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The Metabolic Rainbow: Deep Learning Phase 1 Metabolism in Five Colors von Le Dang, Na, Hughes, Tyler B., Matlock, Matthew K., Swamidass, S. Joshua

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Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond von Van Voorhis, Wesley C, Adams, John H, Ahyong, Vida, Akabas, Myles H, Alano, Pietro, Alday, Aintzane, Alemán Resto, Yesmalie, Alsibaee, Aishah, Alzualde, Ainhoa, Avery, Simon V, Avery, Vicky M, Baker, Stephen, Bickle, Quentin, Bosch, Jürgen, Boucher, Lauren E, Boyom, Fabrice F, Burton, Audrey, Caffrey, Conor R, Belen Cassera, Maria, Chih-Chien Cheng, Ken, Chindaudomsate, Worathad, D'Alessandro, Sarah, DeRisi, Joseph L, Du, Alan Y, Abd El-Salam El-Sayed, Shimaa, Fernández Robledo, José A, Fidock, David A, Florent, Isabelle, Fokou, Patrick VT, Gokool, Suzanne, Goldgof, Gregory M, Guha, Rajarshi, Guiguemde, W Armand, Guy, R Kiplin, Hemphill, Andrew, Horrocks, Paul, Hughes, Tyler B, Huston, Christopher, Igarashi, Ikuo, Ingram-Sieber, Katrin, Jiang, Rays HY, Kaiser, Annette, Kicka, Sebastien, Kim, Sunyoung, Lehane, Adele M, Li, Fengwu, Liu, Liqiong, Llinás, Manuel, Loza, Maria I, Lubar, Aristea, Lucantoni, Leonardo, Lucet, Isabelle, Maes, Louis, Mancama, Dalu, Mansour, Nuha R, March, Sandra, McGowan, Sheena, Medina Vera, Iset, Mercer, Luke, Nathan, Carl, Panic, Gordana, Papadatos, George, Patra, Kailash, Poulsen, Sally-Ann, Quevedo, Celia, Rice, Christopher A, Abdo Rizk, Mohamed, Ruecker, Andrea, St Onge, Robert, Samra, Jasmeet, Robinett, Natalie G, Schmitt, Marjorie, Silvestrini, Francesco, Sinden, Robert, Smith, Dennis A, Stamm, Serge Maximilian, Sullivan, William, Suresh, Sundari, Suzuki, Yo, Swamidass, S Joshua, Taramelli, Donatella, Tchokouaha, Lauve RY, Theron, Anjo, Tonissen, Kathryn F, Townson, Simon, Tripathi, Abhai K, Ullah, Imran, Vallieres, Cindy, Vinetz, Joseph M, Voong Vinh, Phat, Watanabe, Nao-Aki, White, Pamela M, Winzeler, Elizabeth A, Wojcik, Edward, Wree, Melanie, Burrows, Jeremy, Laleu, Benoît, Leroy, Didier, Spangenberg, Thomas, Willis, Paul A

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Experimentally realized in situ backpropagation for deep learning in photonic neural networks von Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W, Park, Taewon, Bartlett, Ben, Williamson, Ian A D, Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A B

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Parallel Programming of an Arbitrary Feedforward Photonic Network von Pai, Sunil, Williamson, Ian A. D., Hughes, Tyler W., Minkov, Momchil, Solgaard, Olav, Fan, Shanhui, Miller, David A. B.

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