DREAM POSTERS
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D# = Cytoscape related work
| Poster Number |
Authors | Title |
| D1 | Istvan Ladunga, Avi Knecht, Adam Caprez, Timothy Bailey, Tao Liu, Pedro Madrigal and David Swanson | ChIPathlon: community-wide performance assessment of tools for mapping transcription factor binding sites and histone modifications |
| D2 | Ana Stanescu and Gaurav Pandey | Learning parsimonious ensembles for biomedical prediction problems and DREAM challenges |
| D3 | Robert Vogel, Mehmet Eren Ahsen and Gustavo Stolovitzky | Unsupervised aggregation of rank predictions for binary classification in translational systems biology tasks |
| D4 | David Tanenbaum Phd, Eldred Ribeiro Phd, Wenling Chang Phd, Peter Gutgarts, Ari Abrams-Kudan, William Kim, Lisa Tutterow, Lauren Quattrochi Phd and Erin Williams Jd | Catalyzing Biomedical Research through the NIH Commons Credit Cloud Computing Paradigm |
| D5 | Dennis Wang, Michael P. Menden, Michael Mason, Thomas Yu, Krishna C. Bulusu, Elias Chaibub Neto, In Sock Jang, Zara Ghazoui, John Vincent, Eric Tang, Giovanni Di Veroli, Gustavo Stolovitzky, Jonathan R. Dry, Justin Guinney, Julio Saez-Rodriguez | Community analysis to predict therapeutic synergy within the AstraZeneca-Sanger Drug Combination Challenge |
| D6 | Minji Jeon, Sunkyu Kim, Sungjoon Park, Heewon Lee, Hyeokyoon Chang, Minhwan Yu, Kwanghun Choi, and Jaewoo Kang | Drug Synergy Prediction using High Performance Computing and Support Vector Regression |
| D7 | Tin Nguyen, Bence Szalai, Gábort Turu, Miklós Cserző, László Hunyady, Sorin Draghici, Russ Wolfinger | Boosted Tree Based Prediction of Drug Synergisms in the AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge |
| D8 | Weijia Zhang, Thuc Le, Taosheng Xu, Junpeng Zhang, Lin Liu, Jiuyong Li | Disease module identification with balanced multi-layer regularized Markov cluster algorithm |
| D9 | Chi W Pak | Bootstrap feature selection of early differentially expressed genes in human respiratory viral challenge studies: viral shedding and patient symptoms |
| D10 | Maria Suprun, Joel Correa-da-Rossa, Mayte Suarez-Farinas and Lewis E Tomalin | Estimating a generalizable ‘final model’, suitable for clinical classification applications, using Monte Carlo resamples of patient data |
| D11 | Artem Lysenko, Piotr J. Kamola, Keith A. Boroevich and Tatsuhiko Tsunoda | Strategies for discovering disease-associated modules in integrated biological networks |
| D12 | Emilie Ramsahai and Melford John | M-Reach pathways from networks combined on V-Structures |
| D13 | Jake Crawford, Junyuan Lin, Xiaozhe Hu, Benjamin Hescott, Donna Slonim and Lenore J. Cowen | A double spectral approach to the DREAM module identification challenge |
| D14 | Sergio Gómez, Manlio De Domenico and Alex Arenas | Module Identification by Adjusting Resolution in Community Detection Algorithms |
| D15 | Shana White, Lixia Zhang and Mario Medvedovic | Application of diffusion kernels of network graphs and subsequent clustering approaches for identification of disease modules |
| D16 | Hongjiu Zhang and Yuanfang Guan | An ultra-fast tumour heterogeneity inference method using density-based infinite mixture model |
| D17 | Liye He, Eemeli Leppäaho, Motoki Shiga, Bhagwan Yadav, Jussi Gillberg, Suleiman Khan, Zia ur Rehman, David Tamborero, Pekka Marttinen, Mehmet Gönen, Hiroshi Mamitsuka, Krister Wennerberg, Samuel Kaski, Tero Aittokallio, and Jing Tang | Target-based ensemble drug combination predictions for the DREAM10 challenge |
| D18 | Eduardo G. Gusmao, Zhijian Li, Ivan G. Costa | Prediction of Active Transcription Factor Binding Sites Using Computational Footprinting Data |
| D19 | Andrey S. Lando, Ilya E. Vorontsov, Valentina Boeva, Grigory V. Sapunov, Irina A. Eliseeva, Vsevolod J. Makeev, and Ivan V. Kulakovskiy | Preselection of training cell types improves prediction of transcription factor binding sites |
| D20 | Zafer Aydın | Discovering Biomarkers for Early Prognosis of Respiratory Virus Infection |
| D21 | Sandeep Kumar Dhanda, Kumardeep Chaudhary, Ritesh Kumar, Deepak Singla | ViResPred: A Solution for Respiratory Viral Dream Challenge |
| D22 | Michał Łopuszyński and Miron Bartosz Kursa | The application of the feature hashing and the mutual information based feature filter in predicting susceptibility to respiratory viruses |
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