Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles - Kitchen, Robert R; Sabine, Vicky S; Sims, Andrew H; Macaskill, E Jane; Renshaw, Lorna; Thomas, Jeremy S; van Hemert, Jano I; Dixon, J Michael; Bartlett, John MS (BMC genomics, 2010)
Keywords: Algorithms; Analysis of Variance; Animal Genetics and Genomics; Arrays; Bayes Theorem; Bayesian analysis; Bias; Biomedical and Life Sciences; Breast Neoplasms - genetics; Computational Biology; Data processing; DNA microarrays; Experiments; Female; Gene expression; Gene Expression Profiling - methods; Genes; Genomics; Humans; Life Sciences; Medical research; Messenger RNA; Microarrays; Microbial Genetics and Genomics; Oligonucleotide Array Sequence Analysis - methods; Physiological aspects; Plant Genetics and Genomics; Proteomics; Reference Standards; Reproducibility of Results; Research Article; RNA, Neoplasm - genetics; Statistical analysis; Studies; Transcription; United Kingdom; United Kingdom--UK; Scotland; Edinburgh Scotland; Batch Effect; Batch Correction; Quantile Normalisation; Everolimus; Primary Breast Tumour Sample