The following are the winners of the 2019 MIDAS symposium poster competition.
| Category | Abstract Title | Authors and Affiliations |
| Innovative Use of Data | TransPRECISE : Proteomics-based Network Modeling of Pan-cancer Human and Cell Line Interactome | Rupam Bhattacharyya, Department of Biostatistics, University of Michigan
Min Jin Ha, Department of Biostatistics, The University of Texas MD Anderson Cancer Center Qingzhi Liu, Department of Biostatistics, University of Michigan Veerabhadran Baladandayuthapani, Department of Biostatistics, University of Michigan |
| Innovative Use of Data | Predicting Chromatin Organization at Nucleosome Resolution | Fan Feng, Department of Computational Medicine and Bioinformatics
Jie Liu, Department of Computational Medicine and Bioinformatics |
| Most Interesting Methodological Advancement | Leveraging Gene Co-expression Patterns to Infer Trait-Relevant Tissues in Genome-wide Association Studies | Lulu Shang, Department of Biostatistics
Jennifer A. Smith, Department of Epidemiology, Survey Research Center, Institute for Social Research Xiang Zhou, Department of Biostatistics, Center for Statistical Genetics, University of Michigan |
| Most Interesting Methodological Advancement | Parsing latent factors in high dimensional classification | Yujia Pan, University of Michigan
Johann Gagnon-Bartsch, University of Michigan |
| Most Likely to Make an Impact in the Field | Regression Analysis of Dependent Binary Data for Estimating Disease Etiology from Case-Control Studies | Zhenke Wu, Biostatistics, University of Michigan
Irena Chen, Biostatistics, University of Michigan |
| Most Likely to Make an Impact in the Field | Incorporating Patient Subgroups During Surrogate Endpoint Validation | Emily Roberts, Department of Biostatistics, University of Michigan
Michael Elliott, Department of Biostatistics, University of Michigan Jeremy Taylor, Department of Biostatistics, University of Michigan |
| Most Likely to Make a Societal Impact | Profit for You and Me: Exploring Ad Servers on Fake News Sites | Lia Bozarth, School of Information, University of Michigan
Ceren Budak, School of Information, University of Michigan |
| Most Likely to Make a Societal Impact | Natural Language Processing approaches to detect mentions of drugs and adverse events in tweets | Deahan Yu, School of Information, University of Michigan
V.G.Vinod Vydiswaran, School of Information, Department of Learning Health Sciences, University of Michigan |
| Best Overall Poster | TransPRECISE : Proteomics-based Network Modeling of Pan-cancer Human and Cell Line Interactome | Rupam Bhattacharyya, Department of Biostatistics, University of Michigan
Min Jin Ha, Department of Biostatistics, The University of Texas MD Anderson Cancer Center Qingzhi Liu, Department of Biostatistics, University of Michigan Veerabhadran Baladandayuthapani, Department of Biostatistics, University of Michigan |
