| 2020 | PSB | Computationally Efficient, Exact, Covariate-Adjusted Genetic Principal Component Analysis byLeveraging Individual Marker Summary Statistics from Large Biobanks. | Jack M. Wolf, Martha Barnard, Xueting Xia, Nathan Ryder, Jason Westra, Nathan L. Tintle |
| 2019 | PSB | 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 | PSB | Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data. | Kevin Li, Rachel Chen, William Lindsey, Aaron A. Best, Matthew DeJongh, Christopher S. Henry, Nathan L. Tintle |
| 2018 | PSB | Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions. | Jason Westra, Nicholas Hartman, Bethany Lake, Gregory Shearer, Nathan L. Tintle |
| 2017 | PSB | A Powerful Method for Including Genotype Uncertainty in Tests of Hardy-Weinberg Equilibrium. | Andrew Beck, Alexander Luedtke, Keli Liu, Nathan L. Tintle |
| 2017 | PSB | Identification and Analysis of Bacterial Genomic Metabolic Signatures. | Nathan Bowerman, Nathan L. Tintle, Matthew DeJongh, Aaron A. Best |
| 2017 | PSB | Improved Performance of Gene Set Analysis on Genome-Wide Transcriptomics Data when Using Gene Activity State Estimates. | Thomas Kamp, Micah Adams, Craig Disselkoen, Nathan L. Tintle |