Abstract:
:Microarray platforms are used increasingly to make comparative inferences through genome-wide surveys of gene expression. Although recent studies focus on describing the evidence for natural selection using estimates of the within- and between-taxa mutational variances, these methods do not explicitly or flexibly account for predicted nonindependence due to phylogenetic associations between measurements. In the interest of parsing the effects of selection: we introduce a mixture model for the comparative analysis of variation in gene expression across multiple taxa. This class of models isolates the phylogenetic signal from the nonphylogenetic and the heritable signal from the nonheritable while measuring the proper amount of correction. As a result, the mixture model resolves outstanding differences between existing models, relates different ways to estimate the across taxa variance, and induces a likelihood ratio test for selection. We investigate by simulation and application the feasibility and utility of estimation of the required parameters and the power of the proposed test. We illustrate analysis under this mixture model with a gene duplication family data set.
journal_name
Mol Biol Evoljournal_title
Molecular biology and evolutionauthors
Eng KH,Bravo HC,Keleş Sdoi
10.1093/molbev/msp149subject
Has Abstractpub_date
2009-10-01 00:00:00pages
2363-72issue
10eissn
0737-4038issn
1537-1719pii
msp149journal_volume
26pub_type
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