Literature DB >> 20597851

A random coefficients model for regional co-expression associated with DNA copy number.

Wessel N van Wieringen1, Johannes Berkhof, Mark A van de Wiel.   

Abstract

Regional co-expression refers to the phenomenon of contiguous genes exhibiting similar expression patterns. Among others, DNA copy number aberrations may be causally involved in regional co-expression. We propose a random coefficients model to explain regional co-expression from DNA copy number information, while modeling residual co-expression due to other causes by a correlated error structure. We show how the model parameters may be estimated (computationally efficient and consistently) from high-dimensional data, and suggest several robustifications of the estimation procedure. From the model we are able to assess whether there is a shared effect on expression levels due to the DNA copy number aberrations, but also whether this effect is homogeneous across genes. In two examples we use the proposed methodology to investigate the association between DNA copy number aberrations and regional co-expression.

Mesh:

Year:  2010        PMID: 20597851     DOI: 10.2202/1544-6115.1531

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  4 in total

1.  A test for comparing two groups of samples when analyzing multiple omics profiles.

Authors:  Nimisha Chaturvedi; Jelle J Goeman; Judith M Boer; Wessel N van Wieringen; Renée X de Menezes
Journal:  BMC Bioinformatics       Date:  2014-07-08       Impact factor: 3.169

2.  Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses.

Authors:  Wessel N van Wieringen; Kristian Unger; Gwenaël G R Leday; Oscar Krijgsman; Renée X de Menezes; Bauke Ylstra; Mark A van de Wiel
Journal:  BMC Bioinformatics       Date:  2012-05-04       Impact factor: 3.169

3.  tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities.

Authors:  Viktorian Miok; Saskia M Wilting; Mark A van de Wiel; Annelieke Jaspers; Paula I van Noort; Ruud H Brakenhoff; Peter J F Snijders; Renske D M Steenbergen; Wessel N van Wieringen
Journal:  BMC Bioinformatics       Date:  2014-10-02       Impact factor: 3.169

4.  SegCorr a statistical procedure for the detection of genomic regions of correlated expression.

Authors:  Eleni Ioanna Delatola; Emilie Lebarbier; Tristan Mary-Huard; François Radvanyi; Stéphane Robin; Jennifer Wong
Journal:  BMC Bioinformatics       Date:  2017-07-11       Impact factor: 3.169

  4 in total

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