4 citations · 8 across the 4 of their papers we have counts for
4 papers
Simultaneous estimation of connectivity and dimensionality in samples of networks
Wenlong Jiang, Chris McKennan, Jesús Arroyo +1
An overarching objective in contemporary statistical network analysis is extracting salient information from datasets consisting of multiple networks. To date, considerable attenti…
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…
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…
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…