The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis.

ABSTRACT: The diversity of the installed sequencing and microarray equipment make it increasingly difficult to compare and analyze the gene expression datasets obtained using the different methods. Many applications requiring high-quality and low error rates cannot make use of available data using traditional analytical approaches. Recently, we proposed a new concept of signalome-wide analysis of functional changes in the intracellular pathways termed OncoFinder, a bioinformatic tool for quantitative estimation of the signaling pathway activation (SPA). We also developed methods to compare the gene expression data obtained using multiple platforms and minimizing the error rates by mapping the gene expression data onto the known and custom signaling pathways. This technique for the first time makes i

SUBMITTER: Buzdin AA 

PROVIDER: S-EPMC4428387 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature