| 2019 | Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. | Qiwen Hu, Casey S. Greene |
| 2019 | A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data. | Wontack Han, Yuzhen Ye |
| 2019 | Session Introduction. | Gamze Grsoy, Arif Ozgun Harmanci, Haixu Tang, Erman Ayday, Steven E. Brenner |
| 2019 | CrowdVariant: a crowdsourcing approach to classify copy number variants. | Peyton Greenside, Justin M. Zook, Marc L. Salit, Madeleine L. Cule, Ryan Poplin, Mark A. DePristo |
| 2019 | PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction. | Kiley Graim, Verena Friedl, Kathleen E. Houlahan, Joshua M. Stuart |
| 2019 | PVC Detection Using a Convolutional Autoencoder and Random Forest Classifier. | Max Gordon, Cranos Williams |
| 2019 | Text Mining and Machine Learning for Precision Medicine. | Graciela Gonzalez, Zhiyong Lu, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen, Jingcheng Du, Juliane Fluck, Casey S. Greene, John H. Holmes, Aditya Kashyap, Rikke Linnemann Nielsen, Zhengqing Ouyang, Sebastian Schaaf, Jaclyn N. Taroni, Cui Tao, Yuping Zhang, Hongfang Liu |
| 2019 | Shallow Sparsely-Connected Autoencoders for Gene Set Projection. | Maxwell P. Gold, Alexander LeNail, Ernest Fraenkel |
| 2019 | Leveraging summary statistics to make inferences about complex phenotypes in large biobanks. | Angela Gasdaska, Derek Friend, Rachel Chen, Jason Westra, Matthew Zawistowski, William Lindsey, Nathan L. Tintle |
| 2019 | Session introduction. | Lana X. Garmire, Guo-Cheng Yuan, Rong Fan, Gene W. Yeo, John Quackenbush |
| 2019 | ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. | Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen |
| 2019 | Implementing a universal informed consent process for the All of Us Research Program. | Megan Doerr, Shira Grayson, Sarah Moore, Christine Suver, John Wilbanks, Jennifer K. Wagner |
| 2019 | The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. | Daisy Yi Ding, Chlo Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah |
| 2019 | LISA: Accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data. | Yang Chen, Yuping Zhang, Zhengqing Ouyang |
| 2019 | An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. | Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt |
| 2019 | Session introduction. | Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jill P. Mesirov, Alexander A. Morgan, Predrag Radivojac |
| 2019 | Reading between the genes: interpreting non-coding DNA in high-throughput. | Joanne Berghout, Yves A. Lussier, Francesca Vitali, Martha L. Bulyk, Maricel G. Kann, Jason H. Moore |
| 2019 | Learning Contextual Hierarchical Structure of Medical Concepts with Poincair Embeddings to Clarify Phenotypes. | Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam |
| 2019 | DNA Steganalysis Using Deep Recurrent Neural Networks. | Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon |
| 2019 | SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs. | Shankara Anand, Laurynas Kalesinskas, Craig Smail, Yosuke Tanigawa |
| 2019 | Protecting Genomic Data Privacy with Probabilistic Modeling. | Sean Simmons, Bonnie Berger, S. Cenk Sahinalp |
| 2018 | Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses. | Samir Rachid Zaim, Qike Li, A. Grant Schissler, Yves A. Lussier |
| 2018 | Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies. | Jielin Xu, Kelly Regan-Fendt, Siyuan Deng, William E. Carson III, Philip R. O. Payne, Fuhai Li |
| 2018 | Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions. | Jason Westra, Nicholas Hartman, Bethany Lake, Gregory Shearer, Nathan L. Tintle |
| 2018 | Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. | Gregory P. Way, Casey S. Greene |