38 citations · 111 across the 14 of their papers we have counts for
10 papers · 1 filter
Dynamic Gene Coexpression Analysis with Correlation Modeling
Tae Hyun Kim, Dan Nicolae
In many transcriptomic studies, the correlation of genes might fluctuate with quantitative factors such as genetic ancestry. We propose a method that models the covariance between…
Weighted-Graph-Based Change Point Detection
Lizhen Nie, Dan L. Nicolae
We consider the detection and localization of change points in the distribution of an offline sequence of observations. Based on a nonparametric framework that uses a similarity gr…
Estimation and inference in metabolomics with non-random missing data and latent factors
Chris McKennan, Carole Ober, Dan Nicolae
High throughput metabolomics data are fraught with both non-ignorable missing observations and unobserved factors that influence a metabolite's measured concentration, and it is we…
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…
Identifying Heritable Communities of Microbiome by Root-Unifrac and Wishart Distribution
Yunfan Tang, Dan Nicolae
We introduce a method to identify heritable microbiome communities when the input is a pairwise dissimilarity matrix among all samples. Current methods target each taxon individual…
Accounting for unobserved covariates with varying degrees of estimability in high dimensional biological data
Chris McKennan, Dan Nicolae
An important phenomenon in high dimensional biological data is the presence of unobserved covariates that can have a significant impact on the measured response. When these factors…