activity
20132021
most citedGene-level pharmacogenetic analysis on survival outcomes using gene-trait similarity regression

11 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

stat.CO2021

SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests in Biobank Data

Jocelyn T. Chi, Ilse C. F. Ipsen, Tzu-Hung Hsiao +5

The explosion of biobank data offers immediate opportunities for gene-environment (GxE) interaction studies of complex diseases because of the large sample sizes and the rich colle…

stat.ME2019

The Robust Kernel Association Test

Kara Martinez, Arnab Maity, Robert Yolken +2

Testing the association between SNP effects and a response is a common task. Such tests are often carried out through kernel machine methods based on least squares, such as the Seq…

stat.AP2018★ 1 cited

FastLORS: Joint Modeling for eQTL Mapping in R

Jacob Rhyne, Eric Chi, Jung-Ying Tzeng +1

Yang et al. (2013) introduced LORS, a method that jointly models the expression of genes, SNPs, and hidden factors for eQTL mapping. LORS solves a convex optimization problem and h…

stat.ME2018

Efficient Signal Inclusion With Genomic Applications

X. Jessie Jeng, Teng Zhang, Jung-Ying Tzeng

This paper addresses the challenge of efficiently capturing a high proportion of true signals for subsequent data analyses when sample sizes are relatively limited with respect to…

stat.AP2018★ 1 cited

eQTL Mapping via Effective SNP Ranking and Screening

Jacob Rhyne, Jung-Ying Tzeng, Teng Zhang +1

Genome-wide eQTL mapping explores the relationship between gene expression values and DNA variants to understand genetic causes of human disease. Due to the large number of genes a…

stat.AP2014★ 11 cited

Gene-level pharmacogenetic analysis on survival outcomes using gene-trait similarity regression

Jung-Ying Tzeng, Wenbin Lu, Fang-Chi Hsu

Gene/pathway-based methods are drawing significant attention due to their usefulness in detecting rare and common variants that affect disease susceptibility. The biological mechan…