4 citations · 5 across the 2 of their papers we have counts for
3 papers
q-bio.QM2021★ 1 cited
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification
Chris McKennan, Zhe Sang, Yi Shi
Nanobodies are small antibody fragments derived from camelids that selectively bind to antigens. These proteins have marked physicochemical properties that support advanced therape…
stat.ME2020★ 4 cited
Factor analysis in high dimensional biological data with dependent observations
Chris McKennan
Factor analysis is a critical component of high dimensional biological data analysis. However, modern biological data contain two key features that irrevocably corrupt existing met…
stat.ME2018
Estimating and accounting for unobserved covariates in high dimensional correlated data
Chris McKennan, Dan Nicolae
Many high dimensional and high-throughput biological datasets have complex sample correlation structures, which include longitudinal and multiple tissue data, as well as data with…