Gene set analyses for interpreting microarray experiments on prokaryotic organisms. - Nathan L. Tintle; Aaron A. Best; Matthew DeJongh; Dirk Van Bruggen; Fred Heffron; Steffen Porwollik; Ronald C. Taylor (BMC Bioinform., 2008)

Evaluating the consistency of gene sets used in the analysis of bacterial gene expression data. - Nathan L. Tintle; Alexandra Sitarik; Benjamin Boerema; Kylie Young; Aaron A. Best; Matthew DeJongh (BMC Bioinform., 2012)

A Powerful Method for Including Genotype Uncertainty in Tests of Hardy-Weinberg Equilibrium. - Andrew Beck; Alexander Luedtke; Keli Liu; Nathan L. Tintle (PSB, 2017)

Identification and Analysis of Bacterial Genomic Metabolic Signatures. - Nathan Bowerman; Nathan L. Tintle; Matthew DeJongh; Aaron A. Best (PSB, 2017)

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 (PSB, 2017)

Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions. - Jason Westra; Nicholas Hartman; Bethany Lake; Gregory Shearer; Nathan L. Tintle (PSB, 2018)

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 (PSB, 2019)

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 (PSB, 2019)

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 (PSB, 2020)