Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat
Open Access
- 25 February 2015
- journal article
- Published by Springer Science and Business Media LLC in BMC Bioinformatics
- Vol. 16 (1), 63
- https://doi.org/10.1186/s12859-015-0478-3
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Batch correction of microarray data substantially improves the identification of genes differentially expressed in Rheumatoid Arthritis and OsteoarthritisBMC Medical Genomics, 2012
- The role of maintenance thalidomide therapy in multiple myeloma: MRC Myeloma IX results and meta-analysisBlood, 2012
- Pharmacogenomics of bortezomib test-dosing identifies hyperexpression of proteasome genes, especially PSMD4, as novel high-risk feature in myeloma treated with Total Therapy 3Blood, 2011
- Integrated Analysis of Multiple Microarray Datasets Identifies a Reproducible Survival Predictor in Ovarian CancerPLOS ONE, 2011
- Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment MethodsPLOS ONE, 2011
- A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression dataThe Pharmacogenomics Journal, 2010
- Homozygous Deletion Mapping in Myeloma Samples Identifies Genes and an Expression Signature Relevant to Pathogenesis and OutcomeClinical Cancer Research, 2010
- International Myeloma Working Group molecular classification of multiple myeloma: spotlight reviewLeukemia, 2009
- Adjusting batch effects in microarray expression data using empirical Bayes methodsBiostatistics, 2006
- Statistical significance for genomewide studiesProceedings of the National Academy of Sciences of the United States of America, 2003