Correlation between accuracy sensitivity specificity and positive predictive value parameters in detecting differentially expressed genes
RNA-seq high-throughput sequencing technology is rapidly becoming the standard method for measuring RNA expression levels. We previously evaluated the performance of different grape microarray design strategies based on custom microarray platforms assuming RNA-seq gene expression data as a reference. We subsequently evaluated sensitivity, specificity, accuracy and positive predictive value (PPV) parameters of these microarray design strategies in detecting significantly differential expressed genes (DEGs) in gene expression differential analysis.