Biostatistics: Overview
Genome-wide Association Studies-GWAS
Genomics
Quantitative Analysis
Quantifying and Rejecting Outliers: The Grubbs Test
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Updated: Jan 8, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
Fan Wang1, Chen Wang1, Tianying Wang2
1Department of Biostatistics, Columbia University, New York, NY 10032, United States.
We developed Regenie.QRS, a new method for genome-wide association studies (GWAS) that detects how genetic effects vary across the full phenotype distribution. This approach improves the detection of complex genotype-phenotype associations.
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