Nathan L. Tintle

According to our database, Nathan L. Tintle authored at least 9 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

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

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

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

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

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

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Identification and Analysis of Bacterial Genomic Metabolic Signatures.

Nathan Bowerman, Nathan L. Tintle, Matthew DeJongh, Aaron A. Best

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

A Powerful Method for Including Genotype Uncertainty in Tests of Hardy-Weinberg Equilibrium.

Andrew Beck, Alexander Luedtke, Keli Liu, Nathan L. Tintle

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2012

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

2008

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