no code implementations • 17 Mar 2023 • Weiqiong Huang, Emily C. Hector, Joshua Cape, Chris McKennan
The recent explosion of genetic and high dimensional biobank and 'omic' data has provided researchers with the opportunity to investigate the shared genetic origin (pleiotropy) of hundreds to thousands of related phenotypes.
no code implementations • 15 Oct 2021 • Chris McKennan, Zhe Sang, Yi Shi
To address these issues, we then develop a novel framework and method that treats peptide-spectrum matching as a Bayesian model selection problem with an incomplete model space, which are, to our knowledge, the first to account for all sources of PSM error without relying on the aforementioned assumptions.
1 code implementation • 5 Sep 2019 • Chris McKennan, Carole Ober, Dan Nicolae
However, current methods to analyze these data can only account for the missing data or unobserved factors, but not both.
Methodology
1 code implementation • 3 Jan 2018 • Chris McKennan, Dan Nicolae
Lastly, we use previously published DNA methylation data to show our method can more accurately estimate the direct effect of asthma on methylation than previously published methods, which underestimate the correlation between asthma and latent cell type heterogeneity.
Methodology