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The pursuit of optimizing cancer therapies is significantly advanced by the accurate prediction of drug synergy.
Multidrug resistance in cancer: role of atp–dependent transporters
Michael M Gottesman, Tito Fojo, and Susan E Bates · 2002
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Systems biology and combination therapy in the quest for clinical efficacy
Jonathan B Fitzgerald, Birgit Schoeberl, Ulrik B Nielsen, and Peter K Sorger · 2006
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Network pharmacology: the next paradigm in drug discovery
Andrew L Hopkins · 2008
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Nanoparticle-mediated combination chemotherapy and photodynamic therapy overcomes tumor drug resistance
Ayman Khdair, Di Chen, Yogesh Patil, Linan Ma, Q Ping Dou, Malathy PV Shekhar, and Jayanth Panyam · 2010
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Combinatorial drug therapy for cancer in the post-genomic era
Bissan Al-Lazikani, Udai Banerji, and Paul Workman · 2012
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Cancer drug resistance: an evolving paradigm
Caitriona Holohan, Sandra Van Schaeybroeck, Daniel B Longley, and Patrick G Johnston · 2013
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Combination of carbonic anhydrase inhibitor, acetazolamide, and sulforaphane, reduces the viability and growth of bronchial carcinoid cell lines
Reza Bayat Mokhtari, Sushil Kumar, Syed S Islam, Mehrdad Yazdanpanah, Khosrow Adeli, Ernest Cutz, and Herman Yeger · 2013
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High-throughput methods for combinatorial drug discovery
Xiaochen Sun, Santiago Vilar, and Nicholas P Tatonetti · 2013
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville · 2013
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Cosmic: exploring the world’s knowledge of somatic mutations in human cancer
Simon A Forbes, David Beare, Prasad Gunasekaran, Kenric Leung, Nidhi Bindal, Harry Boutselakis, Minjie Ding, Sally Bamford, Charlotte Cole, Sari Ward, et al · 2015
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A historical tale of two lymphomas: part ii: non-hodgkin lymphoma
Ritu Lakhtakia and Ikram Burney · 2015
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An unbiased oncology compound screen to identify novel combination strategies
Jennifer O’Neil, Yair Benita, Igor Feldman, Melissa Chenard, Brian Roberts, Yaping Liu, Jing Li, Astrid Kral, Serguei Lejnine, Andrey Loboda, et al · 2016
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2016
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The concrete distribution: A continuous relaxation of discrete random variables
Chris J Maddison, Andriy Mnih, and Yee Whye Teh · 2016
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The national cancer institute almanac: a comprehensive screening resource for the detection of anticancer drug pairs with enhanced therapeutic activity
Susan L Holbeck, Richard Camalier, James A Crowell, Jeevan Prasaad Govindharajulu, Melinda Hollingshead, Lawrence W Anderson, Eric Polley, Larry Rubinstein, Apurva Srivastava, Deborah Wilsker, et al · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Pubchem 2019 update: improved access to chemical data
Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A Shoemaker, Paul A Thiessen, Bo Yu, et al · 2019
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Accelerating the transition of new tuberculosis drug combinations from phase ii to phase iii trials: New technologies and innovative designs
Geraint Davies, Martin Boeree, Dave Hermann, and Michael Hoelscher · 2019
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Dtf: deep tensor factorization for predicting anticancer drug synergy
Zexuan Sun, Shujun Huang, Peiran Jiang, and Pingzhao Hu · 2020
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Masked label prediction: Unified message passing model for semi-supervised classification
Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjin Wang, and Yu Sun · 2020
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Rao-blackwellizing the straight-through gumbel-softmax gradient estimator
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Cited alongside, same era.
Prospects for combining targeted and conventional cancer therapy with immunotherapy
Philip Gotwals, Scott Cameron, Daniela Cipolletta, Viviana Cremasco, Adam Crystal, Becker Hewes, Britta Mueller, Sonia Quaratino, Catherine Sabatos-Peyton, Lilli Petruzzelli, et al · 2017
Cited alongside, same era.
Methods for high-throughput drug combination screening and synergy scoring
Liye He, Evgeny Kulesskiy, Jani Saarela, Laura Turunen, Krister Wennerberg, Tero Aittokallio, and Jing Tang · 2018
Cited alongside, same era.
Deepsynergy: predicting anti-cancer drug synergy with deep learning
Kristina Preuer, Richard PI Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, and Günter Klambauer · 2018
Cited alongside, same era.
Deeper insights into graph convolutional networks for semi-supervised learning
Qimai Li, Zhichao Han, and Xiao-Ming Wu · 2018
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Dolutegravir-rilpivirine: first 2-drug regimen for hiv-positive adults
Martina Properzi, Paola Magro, Francesco Castelli, and Eugenia Quiros-Roldan · 2018
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Prevalence and patterns of higher-order drug interactions in escherichia coli
Elif Tekin, Cynthia White, Tina Manzhu Kang, Nina Singh, Mauricio Cruz-Loya, Robert Damoiseaux, Van M Savage, and Pamela J Yeh · 2018
Cited alongside, same era.
Hypergraph neural networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, and Yue Gao · 2019
Cited alongside, same era.
Max B Paulus, Chris J Maddison, and Andreas Krause · 2020
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Discrete-valued neural communication
Dianbo Liu, Alex M Lamb, Kenji Kawaguchi, Anirudh Goyal ALIAS PARTH GOYAL, Chen Sun, Michael C Mozer, and Yoshua Bengio · 2021
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Hypergraph convolution and hypergraph attention
Song Bai, Feihu Zhang, and Philip HS Torr · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction
Xuan Liu, Congzhi Song, Shichao Liu, Menglu Li, Xionghui Zhou, and Wen Zhang · 2022
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Training discrete deep generative models via gapped straight-through estimator
Ting-Han Fan, Ta-Chung Chi, Alexander I Rudnicky, and Peter J Ramadge · 2022
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Bridging discrete and backpropagation: Straight-through and beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, and Jianfeng Gao · 2023
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