7 papers · 1 filter
Supervised Low-Rank Structure Discovery for Developmental Epigenetic Aging in Ultra-High-Dimensional DNA Methylation Data
Priyam Das, Jiyeon Song, Lathika Mohanraj +3
Ultra-high-dimensional array-based CpG methylation studies require statistical frameworks that simultaneously provide supervised structure discovery, interpretability, scalable lat…
Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
Subharup Guha, Mengqi Xu, Yi Li
Lung sepsis remains a significant concern in the Northeastern U.S., yet the national eICU Collaborative Database includes only a small number of patients from this region, highligh…
The R Package WMAP: Tools for Causal Meta-Analysis by Integrating Multiple Observational Studies
Subharup Guha, Mengqi Xu, Kashish Priyam +1
Integrating multiple observational studies for meta-analysis has sparked much interest. The presented R package WMAP (Weighted Meta-Analysis with Pseudo-Population) addresses a cri…
Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates
Subharup Guha, Yi Li
Comparative meta-analyses of groups of subjects by integrating multiple observational studies rely on estimated propensity scores (PSs) to mitigate covariate imbalances. However, P…
Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
Subharup Guha, Yi Li
Integrating multiple observational studies to make unconfounded causal or descriptive comparisons of group potential outcomes in a large natural population is challenging. Moreover…
A Clustering Approach to Integrative Analysis of Multiomic Cancer Data
Dongyan Yan, Subharup Guha
Rapid technological advances have allowed for molecular profiling across multiple omics domains from a single sample for clinical decision making in many diseases, especially cance…