Multivariate segmentation in the analysis of transcription tiling array data

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
Antonio Piccolboni

Abstract

Tiling DNA microarrays extend current microarray technology by probing the non-repeat portion of a genome at regular intervals in an unbiased fashion. A fundamental problem in the analysis of these data is the detection of genomic regions that are differentially transcribed across multiple conditions. We propose a linear time algorithm based on segmentation techniques and linear modeling that can work at a user-selected false discovery rate (FDR). It also attains a fourfold sensitivity gain over the only competing algorithm when applied to a whole genome transcription data set spanning the embryonic development of Drosophila melanogaster.

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Citations

Jul 6, 2014·BioMed Research International·Yang DuKlaus Wimmers
Sep 1, 2010·Biometrika·Nancy R ZhangJun Z Li

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