Blind estimation and correction of microarray batch effect

Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis

(2015) Andrew E. Jaffe et al.   BMC BIOINFORMATICS

Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction

(2014) Hilary S. Parker et al.   BIOINFORMATICS

Detecting and correcting systematic variation in large-scale RNA sequencing data

(2014) Sheng Li et al.   NATURE BIOTECHNOLOGY

Normalizing RNA-Sequencing Data by Modeling Hidden Covariates with Prior Knowledge

(2013) Sara Mostafavi et al.   PLoS One

Using control genes to correct for unwanted variation in microarray data

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

Tackling the widespread and critical impact of batch effects in high-throughput data

(2010) Jeffrey T. Leek et al.   NATURE REVIEWS GENETICS