Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data
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DOI: 10.1371/journal.pone.0156594
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References listed on IDEAS
- Chao Chen & Kay Grennan & Judith Badner & Dandan Zhang & Elliot Gershon & Li Jin & Chunyu Liu, 2011. "Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-10, February.
- Jeffrey T Leek & John D Storey, 2007. "Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis," PLOS Genetics, Public Library of Science, vol. 3(9), pages 1-12, September.
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Cited by:
- Xia Qing & Thompson Jeffrey A. & Koestler Devin C., 2021. "Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 20(4-6), pages 101-119, December.
- Almudena Espín-Pérez & Chris Portier & Marc Chadeau-Hyam & Karin van Veldhoven & Jos C S Kleinjans & Theo M C M de Kok, 2018. "Comparison of statistical methods and the use of quality control samples for batch effect correction in human transcriptome data," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-19, August.
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