Unknown

Dataset Information

Evaluating the Performance of Widely Used Phylogenetic Models for Gene Expression Evolution.


ABSTRACT: Phylogenetic comparative methods are increasingly used to test hypotheses about the evolutionary processes that drive divergence in gene expression among species. However, it is unknown whether the distributional assumptions of phylogenetic models designed for quantitative phenotypic traits are realistic for expression data and importantly, the reliability of conclusions of phylogenetic comparative studies of gene expression may depend on whether the data is well described by the chosen model. To evaluate this, we first fit several phylogenetic models of trait evolution to 8 previously published comparative expression datasets, comprising a total of 54,774 genes with 145,927 unique gene-tissue combinations. Using a previously developed approach, we then assessed how well the best model of

SUBMITTER: Dimayacyac JR 

PROVIDER: S-EPMC10709115 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature