Batch effects and noise in microarray experiments, sources, and solutions - Info and Reading Options

"Batch effects and noise in microarray experiments, sources, and solutions" Table Of Contents:

• 1- Variation, variability, batches, and bias in microarray experiments : an introduction / Andreas Scherer
• 2- Microarray platforms and aspects of experimental variation / John Coller
• 3- Experimental design / Peter Grass
• 4- Batches and blocks, sample pools, and subsamples in the design and analysis of gene expression studies / Naomi Altman
• 5- Aspects of technical bias / Martin Schumacher ... [et al.]
• 6- Bioinformatic strategies for cDNA-microarray data processing / Jessica Fahlén ... [et al.]
• 7- Batch effect estimation of microarray platforms with analysis of variance / Nysia I. George and James J. Chen
• 8- Variance due to smooth bias in rat liver and kidney baseline gene expression in a large multi-laboratory data set / Michael J. Boedigheimer ... [et al.]
• 9- Microarray gene expression : the effects of varying certain measurement conditions / Walter Liggett ... [et al.]
• 10- Adjusting batch effects in microarray experiments with small sample size using empirical Bayes methods / W. Evan Johnson and Cheng Li
• 11- Identical reference samples and empirical bayes method for cross-batch gene expression analysis / Wynn L. Walker and Frank R. Sharp
• 12- Principal variance components analysis : estimating batch effects in microarray gene expression data / Jianying Li ... [et al.]
• 13- Batch profile estimation, correction, and scoring / Tzu-Ming Chu ... [et al.]
• 14- Visualization of cross-platform microarray normalization / Xuxin Liu ... [et al.]
• 15- Toward integration of biological noise : aggregation effect in microarray data analysis / Lev Klebanov and Andreas Scherer
• 16- Potential sources of spurious associations and batch effects in genome-wide association studies / Huixiao Hong ... [et al.]
• 17- Standard operating procedures in clinical gene expression biomarker panel development / Khurram Shahzad ... [et al.]
• 18- Data, analysis, and standardization / Gabriella Rustici, Andreas Scherer, and John Quackenbush.

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