Transcript-based reannotation for microarray probesets

DNA microarrays are one of the most used technologies for gene expression measurement. However, there are several distinct microarray platforms, from different manufacturers, each with its own measurement protocol, resulting in data that can hardly be compared or directly integrated. Data integration from multiple sources aims to improve the assertiveness of statistical tests, reducing the data dimensionality problem. This work intends to establish a basis for the integration of gene expression measurements from several manufacturers, a problem that can be addressed at different levels. We will focus on the reannotation process, a cornerstone of multi-platform integration. The proposed approach is based on a reannotation from probesets to transcripts, preserving valuable information for further analysis. Gene expression data from glioblastoma studies will be used as case studies, considering data from Agilent and Affymetrix platforms.

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