GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes

Batch effect removal methods for microarray gene expression data integration: a survey

(2012) C. Lazar et al.   BRIEFINGS IN BIOINFORMATICS

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

(2012) C. Lazar et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor

(2012) Alain Coletta et al.   GENOME BIOLOGY

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO

(2011) J. Taminau et al.   BIOINFORMATICS

Using control genes to correct for unwanted variation in microarray data

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

Thawing Frozen Robust Multi-array Analysis (fRMA)

(2011) Matthew N McCall et al.   BMC BIOINFORMATICS

Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods

(2011) Chao Chen et al.   PLoS One

Frozen robust multiarray analysis (fRMA)

(2010) M. N. McCall et al.   BIOSTATISTICS

Validation and characterization of DNA microarray gene expression data distribution and associated moments

(2010) Reuben Thomas et al.   BMC BIOINFORMATICS

Identification of a Novel Biomarker, SEMA5A, for Non-Small Cell Lung Carcinoma in Nonsmoking Women

(2010) T.-P. Lu et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

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

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

A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

(2010) J Luo et al.   PHARMACOGENOMICS JOURNAL

Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Prediction

(2010) Jun Hou et al.   PLoS One

Merging two gene-expression studies via cross-platform normalization

(2008) Andrey A. Shabalin et al.   BIOINFORMATICS

The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

(2008) Andrew H Sims et al.   BMC Medical Genomics

Gene Expression Signature of Cigarette Smoking and Its Role in Lung Adenocarcinoma Development and Survival

(2008) Maria Teresa Landi et al.   PLoS One