Multiplatform single-sample estimates of transcriptional activation.

ABSTRACT: Over the past two decades, many biotechnology platforms have been developed for high-throughput gene expression profiling. However, because each platform is subject to technology-specific biases and produces distinct raw-data distributions, researchers have experienced difficulty in integrating data across platforms. Data integration is crucial to data-generating consortiums, researchers transitioning to newer profiling technologies, and individuals seeking to aggregate data across experiments. We address this need with our Universal exPression Code (UPC) approach, which corrects for platform-specific background noise using models that account for the genomic base composition and length of target regions; this approach also uses a mixture model to estimate whether a gene is active in a par

SUBMITTER: Piccolo SR 

PROVIDER: S-EPMC3816418 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature