MicroRNA array normalization: an evaluation using a randomized dataset as the benchmark.

ABSTRACT: MicroRNA arrays possess a number of unique data features that challenge the assumption key to many normalization methods. We assessed the performance of existing normalization methods using two microRNA array datasets derived from the same set of tumor samples: one dataset was generated using a blocked randomization design when assigning arrays to samples and hence was free of confounding array effects; the second dataset was generated without blocking or randomization and exhibited array effects. The randomized dataset was assessed for differential expression between two tumor groups and treated as the benchmark. The non-randomized dataset was assessed for differential expression after normalization and compared against the benchmark. Normalization improved the true positive rate signific

SUBMITTER: Qin LX 

PROVIDER: S-EPMC4048305 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature