Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed

Statistical Methods for Handling Unwanted Variation in Metabolomics Data

(2015) Alysha M. De Livera et al.   ANALYTICAL CHEMISTRY

Normalization of RNA-seq data using factor analysis of control genes or samples

(2014) Davide Risso et al.   NATURE BIOTECHNOLOGY

Using control genes to correct for unwanted variation in microarray data

(2011) J. A. Gagnon-Bartsch et al.   BIOSTATISTICS

Correction for hidden confounders in the genetic analysis of gene expression

(2010) J. Listgarten et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Accurate Discovery of Expression Quantitative Trait Loci Under Confounding From Spurious and Genuine Regulatory Hotspots

(2008) H. M. Kang et al.   GENETICS

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

(2008) Roger McLendon et al.   NATURE

A general framework for multiple testing dependence

(2008) J. T. Leek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA