| 2019 | PSB | 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 | PSB | Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. | Qiwen Hu, Casey S. Greene |
| 2018 | PSB | Session Introduction. | Graciela Gonzalez-Hernandez, Abeed Sarker, Karen O'Connor, Casey S. Greene, Hongfang Liu |
| 2018 | PSB | Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses. | Lia X. Harrington, Gregory P. Way, Jennifer A. Doherty, Casey S. Greene |
| 2018 | PSB | Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. | Gregory P. Way, Casey S. Greene |
| 2017 | PSB | No-Boundary Thinking in Bioinformatics. | Jason H. Moore, Steven F. Jennings, Casey S. Greene, Lawrence E. Hunter, Andy D. Perkins, ClarLynda R. Williams-DeVane, Donald C. Wunsch, Zhongming Zhao, Xiuzhen Huang |
| 2016 | PSB | Computational Approaches to Study Microbes and Microbiomes. | Casey S. Greene, James A. Foster, Bruce A. Stanton, Deborah A. Hogan, Yana Bromberg |
| 2015 | PSB | Unsupervised Feature Construction and Knowledge Extraction from Genome-Wide Assays of Breast Cancer with Denoising Autoencoders. | Jie Tan, Matthew Ung, Chao Cheng, Casey S. Greene |
| 2014 | PSB | Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing. | Chao Cheng, Jason H. Moore, Casey S. Greene |
| 2014 | PSB | Session introduction. | Graciela Gonzalez, Kevin Bretonnel Cohen, Robert Leaman, Casey S. Greene, Nigam Shah, Maricel G. Kann, Jieping Ye |
| 2013 | PSB | Session introduction. | Graciela Gonzalez, Kevin Bretonnel Cohen, Casey S. Greene, Udo Hahn, Maricel G. Kann, Robert Leaman, Nigam Shah, Jieping Ye |
| 2010 | GECCO | Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units. | Nicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore |
| 2010 | PSB | Enabling Personal Genomics with an Explicit Test of Epistasis. | Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore |
| 2009 | CEC | Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. | Casey S. Greene, Jeff Kiralis, Jason H. Moore |
| 2009 | CEC | Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming. | Casey S. Greene, Bill C. White, Jason H. Moore |
| 2009 | CEC | Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture. | Anna L. Tyler, Bill C. White, Casey S. Greene, Paul C. Andrews, Richard Cowper-Sallari, Jason H. Moore |
| 2009 | GECCO | Environmental noise improves epistasis models of genetic data discovered using a computational evolution system. | Casey S. Greene, Douglas P. Hill, Jason H. Moore |
| 2008 | GECCO | Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. | Casey S. Greene, Bill C. White, Jason H. Moore |