Impact of normalization on Agilent miRNA microarray expression profiling

ABSTRACT: Profiling miRNA levels in cells with miRNA-microarrays is becoming a widely used technique. Although normalization methods for mRNA gene expression arrays are well established, miRNA array normalization has so far not been investigated in detail. In this study we investigate the impact of normalization on data generated with the Agilent miRNA array platform. Here, we developed a method to select non-changing miRNAs (“invariants”) and used them to compute linear regression normalization coefficients or Variance Stabilizing Normalization (VSN) parameters. We compared the invariant normalizations to normalization by, scaling, quantile and VSN with default parameters as well as to no normalization using samples with strong differential expression of miRNAs (heart-brain comparison) and samples

ORGANISM(S): Homo sapiens

SUBMITTER: Sylvain Pradervand 

PROVIDER: E-GEOD-12085 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress