4 citations · 6 across the 6 of their papers we have counts for
6 papers
multi-GPA-Tree: Statistical Approach for Pleiotropy Informed and Functional Annotation Tree Guided Prioritization of GWAS Results
Aastha Khatiwada, Ayse Selen Yilmaz, Bethany J. Wolf +2
Genome-wide association studies (GWAS) have successfully identified over two hundred thousand genotype-trait associations. Yet some challenges remain. First, complex traits are oft…
Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives
Hyeongseon Jeon, Juan Xie, Yeseul Jeon +4
Gene expression profiling technologies have been used in various applications such as cancer biology. The development of gene expression profiling has expanded the scope of target…
graph-GPA 2.0: A Graphical Model for Multi-disease Analysis of GWAS Results with Integration of Functional Annotation Data
Qiaolan Deng, Jin Hyun Nam, Ayse Selen Yilmaz +5
Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to…
A Guideline for the Statistical Analysis of Compositional Data in Immunology
Jinkyung Yoo, Zequn Sun, Michael Greenacre +3
The study of immune cellular composition has been of great scientific interest in immunology because of the generation of multiple large-scale data. From the statistical point of v…
GPA-Tree: Statistical Approach for Functional-Annotation-Tree-Guided Prioritization of GWAS Results
Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz +6
Motivation: In spite of great success of genome-wide association studies (GWAS), multiple challenges still remain. First, complex traits are often associated with many single nucle…
GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy information and annotation data
Dongjun Chung, Can Yang, Cong Li +2
Genome-wide association studies (GWAS) suggests that a complex disease is typically affected by many genetic variants with small or moderate effects. Identification of these risk v…