RNA-seq Evaluating Several Custom Microarrays Background Correction and Gene Expression Data Normalization Systems | Chapter 09 | Advances and Trends in Biotechnology and Genetics Vol. 2
Microarray gene expression technologies represents a widely used tool in transcriptomics and genomics studies worldwide. This technology is stable with the purpose of gene expression differential analysis because of their well-established biostatistics and bioinformatics analysis schemes. However, microarray reliability with regard that analysis typology, depend on probe specificity as well as applied data normalisation and/or background correction procedures. Then, we assessed the performance of 20 different microarrays background correction / gene expression data normalisation combination procedures from “linear models for microarray and RNA-Seq data analysis” package (limma), by comparing significantly differentially expressed genes detected by several custom microarray design strategies, depending on microarray probe size as well as probe set number per transcript model by assuming RNA-Seq approach as benchmark. Basing exclusively on a multivariate statistical clustering surveys...