review Open AccessTop 1% cited
Tackling the widespread and critical impact of batch effects in high-throughput data
Nature Reviews Genetics · 2010 · Vol. 11(10) · pp. 733–739
Jeffrey T. Leek✉Robert B. Scharpf(Johns Hopkins University)Héctor Corrada Bravo(Johns Hopkins University)David Simcha(Johns Hopkins University)Ben Langmead(Johns Hopkins University)W. Evan Johnson(Brigham Young University)Donald Geman(Johns Hopkins University)Keith Baggerly(The University of Texas MD Anderson Cancer Center)Rafael A. Irizarry(Johns Hopkins University)
Gene expression and cancer classificationBioinformatics and Genomic NetworksSingle-cell and spatial transcriptomicsThroughputBiologyComputational biologyEpigeneticsComputer scienceBiochemical engineeringGeneGeneticsEngineering
MeSH terms
BiotechnologyPeriodicals as TopicResearch DesignSequence Analysis, DNAComputational BiologyOligonucleotide Array Sequence AnalysisGenomics
Funding
- Juvenile Diabetes Research Foundation International
- Wellcome Trust
- National Institute for Health and Care Research
- Cambridge Institute for Medical Research, University of Cambridge
- NIHR Cambridge Biomedical Research Centre
Citations
2,215
FWCI
30.16
field-weighted impact
References
30
Percentile
100%
vs. same field & year
Citations per year
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References
A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias
Bioinformatics · 2003 · 8,399 citations
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
PLoS Genetics · 2007 · 2,139 citations
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