Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation.

ABSTRACT:

Background

Although numerous investigations have compared gene expression microarray platforms, preprocessing methods and batch correction algorithms using constructed spike-in or dilution datasets, there remains a paucity of studies examining the properties of microarray data using diverse biological samples. Most microarray experiments seek to identify subtle differences between samples with variable background noise, a scenario poorly represented by constructed datasets. Thus, microarray users lack important information regarding the complexities introduced in real-world experimental settings. The recent development of a multiplexed, digital technology for nucleic acid measurement enables counting of individual RNA molecules without amplification and, for the first time, permits

SUBMITTER: Richard AC 

PROVIDER: S-EPMC4143561 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature